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Structural Features and Robustness of Coupled Software Networks 认领 引用
1
作者 WANG Ershen TONG Zeqi +4 位作者 HONG Chen WANG Yanwen MEI Sen XU Song NA La 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2025年第6期801-812,共12页
Software systems play increasing important roles in modern society,and the ability against attacks is of great practical importance to crucial software systems,resulting in that the structure and robustness of softwar... Software systems play increasing important roles in modern society,and the ability against attacks is of great practical importance to crucial software systems,resulting in that the structure and robustness of software systems have attracted a tremendous amount of interest in recent years.In this paper,based on the source code of Tar and MySQL,we propose an approach to generate coupled software networks and construct three kinds of directed software networks:The function call network,the weakly coupled network and the strongly coupled network.The structural properties of these complex networks are extensively investigated.It is found that the average influence and the average dependence for all functions are the same.Moreover,eight attacking strategies and two robustness indicators(the weakly connected indicator and the strongly connected indicator)are introduced to analyze the robustness of software networks.This shows that the strongly coupled network is just a weakly connected network rather than a strongly connected one.For MySQL,high in-degree strategy outperforms other attacking strategies when the weakly connected indicator is used.On the other hand,high out-degree strategy is a good choice when the strongly connected indicator is adopted.This work will highlight a better understanding of the structure and robustness of software networks. 展开更多
关键词 software network software structure software robustness software system complex network
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Contrastive Analysis of Software Networks Based on Different Coupling Relationships 认领 引用 被引量：4
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作者 XU Guoai GAO Yang +2 位作者 QI Yana PENG Junhao TANG Xianjing 《China Communications》 SCIE 2010年第4期76-82,共7页
Several software network models are constructed based on the relationships between classes in the object-oriented software systems.Then,a variety of well-known open source software applications are statistically analy... Several software network models are constructed based on the relationships between classes in the object-oriented software systems.Then,a variety of well-known open source software applications are statistically analyzed by using these models.The results show that: (1) Dependency network does play a key role in software architecture;(2) The exponents of in-degree and total-degree distribution functions of different networks differ slightly,while the exponent of out-degree varies obviously;(3) Weak-coupling relationships have greater impact on software architecture than strong-coupling relationships.Finally,a theoretically analysis on these statistical phenomena is proposed from the perspectives of software develop technology,develop process and developer’s habits,respectively. 展开更多
关键词 Software System Software Networks Coupling Relationship Degree Distribution
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An Unknown Trojan Detection Method Based on Software Network Behavior 认领 引用 被引量：2
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作者 LIANG Yu PENG Guojun +1 位作者 ZHANG Huanguo WANG Ying 《Wuhan University Journal of Natural Sciences》 CAS 2013年第5期369-376,共8页
Aiming at the difficulty of unknown Trojan detection in the APT flooding situation, an improved detecting method has been proposed. The basic idea of this method originates from advanced persistent threat （APT） atta... Aiming at the difficulty of unknown Trojan detection in the APT flooding situation, an improved detecting method has been proposed. The basic idea of this method originates from advanced persistent threat （APT） attack intents： besides dealing with damaging or destroying facilities, the more essential purpose of APT attacks is to gather confidential data from target hosts by planting Trojans. Inspired by this idea and some in-depth analyses on recently happened APT attacks, five typical communication characteristics are adopted to describe application’s network behavior, with which a fine-grained classifier based on Decision Tree and Na ve Bayes is modeled. Finally, with the training of supervised machine learning approaches, the classification detection method is implemented. Compared with general methods, this method is capable of enhancing the detection and awareness capability of unknown Trojans with less resource consumption. 展开更多
关键词 targeted attack unknown Trojan detection software network behavior machine learning
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Refactoring Software Packages via Community Detection in Complex Software Networks 认领 引用 被引量：4
4
作者 Wei-Feng Pan Bo Jiang Bing Li 《International Journal of Automation and computing》 CSCD 2013年第2期157-166,共10页
An intrinsic property of software in a real-world environment is its need to evolve, which is usually accompanied by the increase of software complexity and deterioration of software quality, making software maintenan... An intrinsic property of software in a real-world environment is its need to evolve, which is usually accompanied by the increase of software complexity and deterioration of software quality, making software maintenance a tough problem. Refactoring is regarded as an effective way to address this problem. Many refactoring approaches at the method and class level have been proposed. But the research on software refactoring at the package level is very little. This paper presents a novel approach to refactor the package structures of object oriented software. It uses software networks to represent classes and their dependencies. It proposes a constrained community detection algorithm to obtain the optimized community structures in software networks, which also correspond to the optimized package structures. And it finally provides a list of classes as refactoring candidates by comparing the optimized package structures with the real package structures. The empirical evaluation of the proposed approach has been performed in two open source Java projects, and the benefits of our approach are illustrated in comparison with the other three approaches. 展开更多
关键词 Refactoring community detection complex networks package software
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Research on the Controllability of Software Networks Based on the Source-Driven Model 认领 引用
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作者 He Tian Xianwei Meng +2 位作者 Nan Hu Yanchao Wang Tianyi Yang 《Journal of Computer and Communications》 2022年第8期26-40,共15页
The complexity of software system has been increasing with software evolution, which affects the stability of software structure. Most of the existing measurement methods focus on the analysis of the macro-characteris... The complexity of software system has been increasing with software evolution, which affects the stability of software structure. Most of the existing measurement methods focus on the analysis of the macro-characteristics of the network topology, but lacked a certain depth and expansion to explore the nature of the complexity of the software structure, for this purpose, the complex network control theory was applied to the study of software network controllability. Firstly, the Source-Driver (SD) model was established based on the system control theory, the driver node sets were obtained by the minimum input theorem in the control process of software network topology;Then the relationship between the degree and center degree, the relationship between the in-degree and the out-degree of the software network topology were further analyzed owing to the non-uniqueness of the driver node sets;Finally, the values of the four indicators in the software system were compared. Experimental results show that the driver node sets in the software networks are mainly composed of nodes with low degree values, but it does not mean that the nodes whose in-degree values and out-degree values are also low;The action on control nodes and driver nodes are not random, the controllability of the driver nodes is closely related to the in-degree, when selecting the driver node sets, the network topology characteristics should be considered comprehensively, and the nodes with high degree and center degree are the first choice. The results have important guiding significance for the control, maintenance and redesign of software architecture. 展开更多
关键词 Complex Networks Software Networks Driver Node Sets Network Control
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A Decentralized and TCAM-Aware Failure Recovery Model in Software Defined Data Center Networks 认领 引用
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作者 Suheib Alhiyari Siti Hafizah AB Hamid Nur Nasuha Daud 《Computers, Materials & Continua》 SCIE EI 2025年第1期1087-1107,共21页
Link failure is a critical issue in large networks and must be effectively addressed.In software-defined networks(SDN),link failure recovery schemes can be categorized into proactive and reactive approaches.Reactive s... Link failure is a critical issue in large networks and must be effectively addressed.In software-defined networks(SDN),link failure recovery schemes can be categorized into proactive and reactive approaches.Reactive schemes have longer recovery times while proactive schemes provide faster recovery but overwhelm the memory of switches by flow entries.As SDN adoption grows,ensuring efficient recovery from link failures in the data plane becomes crucial.In particular,data center networks(DCNs)demand rapid recovery times and efficient resource utilization to meet carrier-grade requirements.This paper proposes an efficient Decentralized Failure Recovery(DFR)model for SDNs,meeting recovery time requirements and optimizing switch memory resource consumption.The DFR model enables switches to autonomously reroute traffic upon link failures without involving the controller,achieving fast recovery times while minimizing memory usage.DFR employs the Fast Failover Group in the OpenFlow standard for local recovery without requiring controller communication and utilizes the k-shortest path algorithm to proactively install backup paths,allowing immediate local recovery without controller intervention and enhancing overall network stability and scalability.DFR employs flow entry aggregation techniques to reduce switch memory usage.Instead of matching flow entries to the destination host’s MAC address,DFR matches packets to the destination switch’s MAC address.This reduces the switches’Ternary Content-Addressable Memory(TCAM)consumption.Additionally,DFR modifies Address Resolution Protocol(ARP)replies to provide source hosts with the destination switch’s MAC address,facilitating flow entry aggregation without affecting normal network operations.The performance of DFR is evaluated through the network emulator Mininet 2.3.1 and Ryu 3.1 as SDN controller.For different number of active flows,number of hosts per edge switch,and different network sizes,the proposed model outperformed various failure recovery models:restoration-based,protection by flow entries,protection by group entries and protection by Vlan-tagging model in terms of recovery time,switch memory consumption and controller overhead which represented the number of flow entry updates to recover from the failure.Experimental results demonstrate that DFR achieves recovery times under 20 milliseconds,satisfying carrier-grade requirements for rapid failure recovery.Additionally,DFR reduces switch memory usage by up to 95%compared to traditional protection methods and minimizes controller load by eliminating the need for controller intervention during failure recovery.Theresults underscore the efficiency and scalability of the DFR model,making it a practical solution for enhancing network resilience in SDN environments. 展开更多
关键词 Software defined networking failure detection failure recovery restoration protection TCAM size
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A Survey of Link Failure Detection and Recovery in Software-Defined Networks 认领 引用
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作者 Suheib Alhiyari Siti Hafizah AB Hamid Nur Nasuha Daud 《Computers, Materials & Continua》 SCIE EI 2025年第1期103-137,共35页
Software-defined networking(SDN)is an innovative paradigm that separates the control and data planes,introducing centralized network control.SDN is increasingly being adopted by Carrier Grade networks,offering enhance... Software-defined networking(SDN)is an innovative paradigm that separates the control and data planes,introducing centralized network control.SDN is increasingly being adopted by Carrier Grade networks,offering enhanced networkmanagement capabilities than those of traditional networks.However,because SDN is designed to ensure high-level service availability,it faces additional challenges.One of themost critical challenges is ensuring efficient detection and recovery from link failures in the data plane.Such failures can significantly impact network performance and lead to service outages,making resiliency a key concern for the effective adoption of SDN.Since the recovery process is intrinsically dependent on timely failure detection,this research surveys and analyzes the current literature on both failure detection and recovery approaches in SDN.The survey provides a critical comparison of existing failure detection techniques,highlighting their advantages and disadvantages.Additionally,it examines the current failure recovery methods,categorized as either restoration-based or protection-based,and offers a comprehensive comparison of their strengths and limitations.Lastly,future research challenges and directions are discussed to address the shortcomings of existing failure recovery methods. 展开更多
关键词 Software defined networking failure detection failure recovery restoration protection
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A Novel Synthetic Dataset for Effective Detection of Replay Attacks in SDN-Enabled IoT Networks 认领 引用
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作者 Nader Karmous Leila Bousbia +2 位作者 Mohamed Ould-Elhassen Aoueileyine Imen Filali Ridha Bouallegue 《Computers, Materials & Continua》 SCIE EI 2026年第7期700-735,共36页
This study proposes an intelligent Intrusion Detection and Prevention System(IDPS)integrated into a centralized Ryu Software-Defined Networking(SDN)controller to mitigate replay attacks within Internet of Things(IoT)e... This study proposes an intelligent Intrusion Detection and Prevention System(IDPS)integrated into a centralized Ryu Software-Defined Networking(SDN)controller to mitigate replay attacks within Internet of Things(IoT)environments.To address the scarcity of specialized datasets,a comprehensive dataset was generated using a real-time SDN-IoT testbed encompassing Mininet,multiple OpenFlow 1.3 switches,and a single Ryu controller.The experimental setup featured the exchange of legitimate and malicious Message Queuing Telemetry Transport(MQTT)traffic between hosts and IoT devices to simulate realistic network behaviors and attack vectors.Our methodology introduces a novel feature engineering framework by evaluating three distinct configurations,including:(1)preprocessed features,(2)data reduced through Principal Component Analysis(PCA),and(3)latent representations extracted via a Variational Autoencoder(VAE).Four distinct classifiers were rigorously benchmarked,including Random Forest(RF),Support Vector Machine(SVM),Extreme Gradient Boosting(XGBoost),and a Convolutional Neural Network(CNN).Performance metrics were derived from 50 independent runs and validated through paired t-tests and Wilcoxon signed-rank tests.The results demonstrate that VAE-based deep feature extraction significantly improves detection accuracy.Notably,the CNN trained on these features achieved a peak accuracy of 99.91%and a false alarm rate of 0.19%.The framework’s real-time effectiveness and scalability were validated through live deployment,offering a robust and reproducible solution for securing SDN-enabled IoT infrastructures.Ultimately,our proposed CNN-VAE approach demonstrates superior performance and higher detection precision compared to existing related works in the field of IoT intrusion detection. 展开更多
关键词 Replay attacks man in the middle cybersecurity software defined networking Internet of Things machine learning artificial intelligence deep learning variational autoencoder feature selection principal component analysis Wilcoxon signed-rank
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Measuring Structural Quality of Object-Oriented Softwares via Bug Propagation Analysis on Weighted Software Networks 认领 引用 被引量：11
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作者 潘伟丰 李兵 +2 位作者 马于涛 覃叶宜 周晓燕 《Journal of Computer Science & Technology》 SCIE EI 2010年第6期1202-1213,共12页
The quality of a software system is partially determined by its structure（topological structure）,so the need to quantitatively analyze the quality of the structure has become eminent.In this paper a novel metric cal... The quality of a software system is partially determined by its structure（topological structure）,so the need to quantitatively analyze the quality of the structure has become eminent.In this paper a novel metric called software quality of structure（SQoS） is presented for quantitatively measuring the structural quality of object-oriented（OO） softwares via bug propagation analysis on weighted software networks（WSNs）.First,the software systems are modeled as a WSN,weighted class dependency network（WCDN）,in which classes are nodes and the interaction between every pair of classes if any is a directed edge with a weight indicating the probability that a bug in one class will propagate to the other.Then we analyze the bug propagation process in the WCDN together with the bug proneness of each class,and based on this,a metric（SQoS） to measure the structural quality of OO softwares as a whole is developed.The approach is evaluated in two case studies on open source Java programs using different software structures（one employs design patterns and the other does not） for the same OO software.The results of the case studies validate the effectiveness of the proposed metric.The approach is fully automated by a tool written in Java. 展开更多
关键词 bug propagation design pattern object-oriented（OO） software software network structural quality
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A PAIR OF COUPLING METRICS FOR SOFTWARE NETWORKS 认领 引用 被引量：1
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作者 Huan LI Bing LI 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2011年第1期51-60,共10页
Complex networks are everywhere. A typical example is software network. How to measure and control coupling interactions of software components is a largely explored research problem in software network. In terms of g... Complex networks are everywhere. A typical example is software network. How to measure and control coupling interactions of software components is a largely explored research problem in software network. In terms of graph theory and linear algebra, this paper investigates a pair of coupling metrics to evaluate coupling interactions between the classes of object-oriented systems. These metrics differ from the majority of existing metrics in three aspects： Taking into account the strength that one class depends on other ones, reflecting indirect coupling, and distinguishing various coupling interaction. An empirical comparison of the novel measures with one of the most widely used coupling metrics is described. Specifically, an experiment about the relationships of this pair metrics is conducted. The result shows that software complexity derived from coupling interaction could not be accurately reflected by one dimension of coupling metric for negative correlation. 展开更多
关键词 Complex network coupling metric software network software system
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Modeling and Dynamic Analysis in Software Systems Based on Complex Networks 认领 引用
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作者 Gao Yang Peng Yong +2 位作者 Xie Feng Dai Zhonghua Xu Guo'ai 《China Communications》 SCIE CSCD 2012年第12期137-143,共7页
A software network model with multiple links is constructed on the basis of a dynamical model of a general complex network with mukiple links. The principle of network division of multiple links is introduced. Followi... A software network model with multiple links is constructed on the basis of a dynamical model of a general complex network with mukiple links. The principle of network division of multiple links is introduced. Following these principles, the software network model is decomposed into three types of subnets and different relationships between classes are revealed. Then, the dynamic analysis of software networks is presented. A sufficient condition for the stability of general complex networks is obtained followed by that of software networks. Finally, the dynamics of an open-source software system is analyzed, and their simulations are provided to demonstrate the effectiveness of the presented model. 展开更多
关键词 software networks multiple links network division subnets dynamic analysis
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Trident: Efficient and Practical Software Network Monitoring 认领 引用 被引量：3
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作者 Xiaohe Hu Yang Xiang +3 位作者 Yifan Li Buyi Qiu Kai Wang Jun Li 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2021年第4期452-463,共12页
Network monitoring is receiving more attention than ever with the need for a self-driving network to tackle increasingly severe network management challenges. Advanced management applications rely on traffic data anal... Network monitoring is receiving more attention than ever with the need for a self-driving network to tackle increasingly severe network management challenges. Advanced management applications rely on traffic data analyses, which require network monitoring to flexibly provide comprehensive traffic characteristics. Moreover, in virtualized environments, software network monitoring is constrained by available resources and requirements of cloud operators. In this paper, Trident, a policy-based network monitoring system at the host, is proposed. Trident is a novel monitoring approach, off-path configurable streaming, which offers remote analyzers a fine-grained holistic view of the network traffic. A novel fast path packet classification algorithm and a corresponding cached flow form are also proposed to improve monitoring efficiency. Evaluated in a practical deployment, Trident demonstrates negligible interference with forwarding and requires no additional software dependencies. Trident has been deployed in production networks of several Tier-IV datacenters. 展开更多
关键词 cloud networking software network monitoring network programmability network management
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A Dormant Multi-Controller Model for Software Defined Networking 认领 引用 被引量：11
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作者 FU Yonghong BI Jun +3 位作者 WU Jianping CHEN Ze WANG Ke LUO Min 《China Communications》 SCIE CSCD 2014年第3期45-55,共11页
In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over.I... In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over.In this paper,we develop a flexible dormant multi-controller model based on the centralized multi-controller architecture.The dormant multi-controller model allows part of controllers to enter the dormant state under light traffic condition for saving system cost.Meanwhile,through queueing analysis,various performance measures of the system can be obtained.Moreover,we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system characteristics.Finally,a total expected cost function is established,and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making. 展开更多
关键词 Software Defined Networking multi-controller queueing theory performanceevaluation
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A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment 认领 引用 被引量：7
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作者 Ying Duan Wenfeng Li +2 位作者 Xiuwen Fu Yun Luo Lin Yang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第1期74-82,共9页
As communication technology and smart manufacturing have developed, the industrial internet of things(IIo T)has gained considerable attention from academia and industry.Wireless sensor networks(WSNs) have many advanta... As communication technology and smart manufacturing have developed, the industrial internet of things(IIo T)has gained considerable attention from academia and industry.Wireless sensor networks(WSNs) have many advantages with broad applications in many areas including environmental monitoring, which makes it a very important part of IIo T. However,energy depletion and hardware malfunctions can lead to node failures in WSNs. The industrial environment can also impact the wireless channel transmission, leading to network reliability problems, even with tightly coupled control and data planes in traditional networks, which obviously also enhances network management cost and complexity. In this paper, we introduce a new software defined network(SDN), and modify this network to propose a framework called the improved software defined wireless sensor network(improved SD-WSN). This proposed framework can address the following issues. 1) For a large scale heterogeneous network, it solves the problem of network management and smooth merging of a WSN into IIo T. 2) The network coverage problem is solved which improves the network reliability. 3) The framework addresses node failure due to various problems, particularly related to energy consumption.Therefore, it is necessary to improve the reliability of wireless sensor networks, by developing certain schemes to reduce energy consumption and the delay time of network nodes under IIo T conditions. Experiments have shown that the improved approach significantly reduces the energy consumption of nodes and the delay time, thus improving the reliability of WSN. 展开更多
关键词 Industrial internet of things(IIo T) reliability software defined network(SDN) wireless sensor network(WSN)
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The Impact of Delay in Software-Defined Integrated Terrestrial-Satellite Networks 认领 引用 被引量：7
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作者 Luca Boero Mario Marchese Fabio Patrone 《China Communications》 SCIE CSCD 2018年第8期11-21,共11页
Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-gene... Satellite communication networks have been evolving from standalone networks with ad-hoc infrastructures to possibly interconnected portions of a wider Future Internet architecture. Experts belonging to the fifth-generation(5 G) standardization committees are considering satellites as a technology to integrate in the 5 G environment. Software Defined Networking(SDN) is one of the paradigms of the next generation of mobile and fixed communications. It can be employed to perform different control functionalities, such as routing, because it allows traffic flow identification based on different parameters and traffic flow management in a centralized way. A centralized set of controllers makes the decisions and sends the corresponding forwarding rules for each traffic flow to the involved intermediate nodes that practically forward data up to the destination. The time to perform this process in integrated terrestrial-satellite networks could be not negligible due to satellite link delays. The aim of this paper is to introduce an SDN-based terrestrial satellite network architecture and to estimate the mean time to deliver the data of a new traffic flow from the source to the destination including the time required to transfer SDN control actions. The practical effect is to identify the maximum performance than can be expected. 展开更多
关键词 Integrated terrestrial-satellite net-works software defined networking software defined satellite networks delay estimation
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Autonomic QoS Management Mechanism in Software Defined Network 认领 引用 被引量：4
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作者 WANG Wendong QI Qinglei +2 位作者 GONG Xiangyan HU Yannan QUE Xirong 《China Communications》 SCIE CSCD 2014年第7期13-23,共11页
With the increase of network complexity,the flexibility of network control and management becomes a nontrivial problem.Both Software Defined Network(SDN)and Autonomic Network technologies are sophisticated technologie... With the increase of network complexity,the flexibility of network control and management becomes a nontrivial problem.Both Software Defined Network(SDN)and Autonomic Network technologies are sophisticated technologies for the network control and management.These two technologies could be combined together to construct a software defined self-managing solution for the future network.An autonomic QoS management mechanism in Software Defined Network(AQSDN)is proposed in this paper.In AQSDN,the various QoS features can be configured autonomically in an OpenFlow switch through extending the OpenFlow and OF-Config protocols.Based on AQSDN,a novel packet context-aware QoS model(PCaQoS)is also introduced for improving the network QoS.PCaQoS takes packet context into account when packet is marked and managed into forwarding queues.The implementation of a video application's prototype which evaluates the self-configuration feature of the AQSDN and the enhancement ability of the PCaQoS is presented in order to validate this design. 展开更多
关键词 software defined network autonomic management context aware quality of service(QoS)
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Software defined satellite networks:A survey 认领 引用 被引量：16
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作者 Weiwei Jiang 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1243-1264,共22页
In recent years,satellite networks have been proposed as an essential part of next-generation mobile communication systems.Software defined networking techniques are introduced in satellite networks to handle the grow... In recent years,satellite networks have been proposed as an essential part of next-generation mobile communication systems.Software defined networking techniques are introduced in satellite networks to handle the growing challenges induced by time-varying topology,intermittent inter-satellite link and dramatically increased satellite constellation size.This survey covers the latest progress of software defined satellite networks,including key techniques,existing solutions,challenges,opportunities,and simulation tools.To the best of our knowledge,this paper is the most comprehensive survey that covers the latest progress of software defined satellite networks.An open GitHub repository is further created where the latest papers on this topic will be tracked and updated periodically.Compared with these existing surveys,this survey contributes from three aspects:(1)an up-to-date SDN-oriented review for the latest progress of key techniques and solutions in software defined satellite networks;(2)an inspiring summary of existing challenges,new research opportunities and publicly available simulation tools for follow-up studies;(3)an effort of building a public repository to track new results. 展开更多
关键词 Mobility management Satellite network SDN controller placement Software defined networking Virtual network embedding
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Dynamic Threshold-Based Approach to Detect Low-Rate DDoS Attacks on Software-Defined Networking Controller 认领 引用 被引量：1
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作者 Mohammad Adnan Aladaileh Mohammed Anbar +2 位作者 Iznan H.Hasbullah Abdullah Ahmed Bahashwan Shadi Al-Sarawn 《Computers, Materials & Continua》 SCIE EI 2022年第10期1403-1416,共14页
The emergence of a new network architecture,known as Software Defined Networking(SDN),in the last two decades has overcome some drawbacks of traditional networks in terms of performance,scalability,reliability,securit... The emergence of a new network architecture,known as Software Defined Networking(SDN),in the last two decades has overcome some drawbacks of traditional networks in terms of performance,scalability,reliability,security,and network management.However,the SDN is vulnerable to security threats that target its controller,such as low-rate Distributed Denial of Service(DDoS)attacks,The low-rate DDoS attack is one of the most prevalent attacks that poses a severe threat to SDN network security because the controller is a vital architecture component.Therefore,there is an urgent need to propose a detection approach for this type of attack with a high detection rate and low false-positive rates.Thus,this paper proposes an approach to detect low-rate DDoS attacks on the SDN controller by adapting a dynamic threshold.The proposed approach has been evaluated using four simulation scenarios covering a combination of low-rate DDoS attacks against the SDN controller involving(i)a single host attack targeting a single victim;(ii)a single host attack targeting multiple victims;(iii)multiple hosts attack targeting a single victim;and(iv)multiple hosts attack targeting multiple victims.The proposed approach’s average detection rates are 96.65%,91.83%,96.17%,and 95.33%for the above scenarios,respectively;and its average false-positive rates are 3.33%,8.17%,3.83%,and 4.67%for similar scenarios,respectively.The comparison between the proposed approach and two existing approaches showed that it outperformed them in both categories. 展开更多
关键词 Attack detection controller dynamic threshold entropy algorithm distributed denial of service software defined networking static threshold
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BotGuard: Lightweight Real-Time Botnet Detection in Software Defined Networks 认领 引用
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作者 CHEN Jing CHENG Xi +2 位作者 DU Ruiying HU Li WANG Chiheng 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2017年第2期103-113,共11页
The distributed detection of botnets may induce heavy computation and communication costs to network devices. Each device in related scheme only has a regional view of Internet, so it is hard to detect botnet comprehe... The distributed detection of botnets may induce heavy computation and communication costs to network devices. Each device in related scheme only has a regional view of Internet, so it is hard to detect botnet comprehensively. In this paper, we propose a lightweight real-time botnet detection framework called Bot-Guard, which uses the global landscape and flexible configurability of software defined network （SDN） to identify botnets promptly. SDN, as a new network framework, can make centralized control in botnet detection, but there are still some challenges in such detections. We give a convex lens imaging graph （CLI-graph） to depict the topology characteristics of botnet, which allows SDN controller to locate attacks separately and mitigate the burden of network devices. The theoretical and experimental resuits prove that our scheme is capable of timely botnet detecting in SDNs with the accuracy higher than 90% and the delay less than 56 ms. 展开更多
关键词 botnet detection software defined network graph theory
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Service Function Chain in Small Satellite-Based Software Defined Satellite Networks 认领 引用 被引量：3
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作者 Taixin Li Huachun Zhou +3 位作者 Hongbin Luo Qi Xu Si Hua Bohao Feng 《China Communications》 SCIE CSCD 2018年第3期157-167,共11页
Software Defined Satellite Networks(SDSN) are proposed to solve the problems in traditional satellite networks, such as time-consuming configuration and inflexible traffic scheduling. The emerging application of small... Software Defined Satellite Networks(SDSN) are proposed to solve the problems in traditional satellite networks, such as time-consuming configuration and inflexible traffic scheduling. The emerging application of small satellite and research of SDSN make it possible for satellite networks to provide flexible network services. Service Function Chain(SFC) can satisfy this need. In this paper, we are motivated to investigate applying SFC in the small satellite-based SDSN for service delivery. We introduce the structure of the multi-layer constellation-based SDSN. Then, we describe two deployment patterns of SFC in SDSN, the Multi-Domain(MD) pattern and the Satellite Formation(SF) pattern. We propose two algorithms, SFP-MD, and SFP-SF, to calculate the Service Function Path(SFP). We implement the algorithms and conduct contrast experiments in our prototype. Finally, we summarize the applicable conditions of two deployment patterns according to the experimental results in terms of hops, delay, and packet loss rate. 展开更多
关键词 service function chain small sat-ellite software defined satellite networks
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