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A Pedestrian Sensitive Training Algorithm for False Positives Suppression in Two-Stage CNN Detection Methods 认领 引用
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作者 Qiang Guo Rubo Zhang Bingbing Zhang 《Computers, Materials & Continua》 SCIE EI 2025年第7期1307-1327,共21页
Pedestrian detection has been a hot spot in computer vision over the past decades due to the wide spectrum of promising applications,and the major challenge is false positives that occur during pedestrian detection.Th... Pedestrian detection has been a hot spot in computer vision over the past decades due to the wide spectrum of promising applications,and the major challenge is false positives that occur during pedestrian detection.The emergence of various Convolutional Neural Network-based detection strategies substantially enhances pedestrian detection accuracy but still does not solve this problem well.This paper deeply analyzes the detection framework of the two-stage CNN detection methods and finds out false positives in detection results are due to its training strategy misclassifying some false proposals,thus weakening the classification capability of the following subnetwork and hardly suppressing false ones.To solve this problem,this paper proposes a pedestrian-sensitive training algorithm to help two-stage CNN detection methods effectively learn to distinguish the pedestrian and non-pedestrian samples and suppress the false positives in the final detection results.The core of the proposed algorithm is to redesign the training proposal generating scheme for the two-stage CNN detection methods,which can avoid a certain number of false ones that mislead its training process.With the help of the proposed algorithm,the detection accuracy of the MetroNext,a smaller and more accurate metro passenger detector,is further improved,which further decreases false ones in its metro passenger detection results.Based on various challenging benchmark datasets,experiment results have demonstrated that the feasibility of the proposed algorithm is effective in improving pedestrian detection accuracy by removing false positives.Compared with the existing state-of-the-art detection networks,PSTNet demonstrates better overall prediction performance in accuracy,total number of parameters,and inference time;thus,it can become a practical solution for hunting pedestrians on various hardware platforms,especially for mobile and edge devices. 展开更多
关键词 Pedestrian detection false positives CNN edge devices
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Mitochondrial DNA as a Risk Factor for False Positives in Case-Control Association Studies 认领 引用 被引量：1
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作者 Antonio Salas Joanna L.Elson 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2015年第4期169-172,共4页
During the last decade, hundreds of studies have been pub- lished examining whether significant associations exist be- tween mitochondrial DNA （mtDNA） variants and/or haplogroups （clades） and particular diseases ... During the last decade, hundreds of studies have been pub- lished examining whether significant associations exist be- tween mitochondrial DNA （mtDNA） variants and/or haplogroups （clades） and particular diseases （generally com- mon/complex diseases） （Fig. 1）. However, several authors have gathered evidence indicating a high incidence of false positive findings in mtDNA case-control association studies. Raule et al. （2007） and Herrnstadt and Howell （2004） showed various problems affecting mtDNA case-control association studies. Salas et al. 展开更多
关键词 DNA Mitochondrial DNA as a Risk Factor for False Positives in Case-Control Association Studies
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False Positives Caused by Single Primer in DDRT Analysis of Soybean 认领 引用
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作者 魏益凡 魏先运 《Agricultural Science & Technology》 CAS 2011年第2期222-223,236,共2页
[Objective] The aim was to explore the reasons of false positives in Different Display Reverse Transcription（DDRT）analysis.[Method] Soybean varieties ＂Jilin 30＂ and ＂Tongnong 13＂ were used as materials to carry ... [Objective] The aim was to explore the reasons of false positives in Different Display Reverse Transcription（DDRT）analysis.[Method] Soybean varieties ＂Jilin 30＂ and ＂Tongnong 13＂ were used as materials to carry out analysis on false positives in DDRT analysis.[Result] An important origin of false positives appeared in DDRT analysis was the non-specific amplification caused by the combination of single primer and cDNA.The parallel PCR test of single primer should be set so as to verify whether the obtained fragments were the false positives or the PCR productions combined with single primer.[Conclusion] This study had provided basis for improving the success rate of DDRT experiment. 展开更多
关键词 Different Display Reverse Transcription（DDRT） Single primer PCR False positive Application
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Overlooked eDNA contamination in human-influenced ecosystems:a call to manage large-scale false positives in biodiversity assessments 认领 引用 被引量：1
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作者 Aibin Zhan 《Water Biology and Security》 CSCD 2025年第4期220-223,共4页
The use of environmental DNA(eDNA)has significantly revolutionized studies in biodiversity science.A crucial innovation of eDNA-based biodiversity assessment is the ability to detect species through genetic materials ... The use of environmental DNA(eDNA)has significantly revolutionized studies in biodiversity science.A crucial innovation of eDNA-based biodiversity assessment is the ability to detect species through genetic materials released by organisms into their environments,without the need for direct observation or capture(i.e.,organisms remain“unseen”).The fact that organisms remain“unseen”has many pros and cons,many of which have been largely recognized and technically addressed or managed.However,two recent studies have both highlighted another critical issue regarding eDNA-based biodiversity assessments:the prevalence of overlooked eDNA contamination originating from human activities,such as the release of treated wastewater into aquatic ecosystems.Such eDNA contamination derived from human activities can lead to significant false positive errors in eDNA-based biodiversity assessments,particularly in human-disturbed ecosystems such as urban and coastal environments.Here I discuss the causes and consequences of eDNA contamination,stressing that this widespread but often neglected issue can substantially affect both eDNA-based theoretical studies and applied biodiversity management.Additionally,I propose several potential technical solutions to minimize its negative impacts,including well-designed sampling strategies,a deeper understanding of eDNA persistence and its spread in local waterbodies,and the use of environmental RNA(eRNA).Given that eDNA contamination can significantly impact ecosystems such as urban and coastal environments where biodiversity provides essential ecosystem services,I call for precautionary approaches and technical efforts to mitigate false positives derived from eDNA contamination in biodiversity assessments in these ecosystems. 展开更多
关键词 Aquatic ecosystems Biodiversity eDNA contamination eRNA False positive
A Vessel Segmentation Method Based on Prior-Guided False Positive Suppression Gating 认领 引用
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作者 Jintao Zhang 《Journal of Electronic Research and Application》 2026年第6期104-117,共14页
Vessel segmentation is a fundamental task in medical image analysis and plays an important role in computer-aided diagnosis,lesion localization,vascular morphology analysis,and subsequent three-dimensional reconstruct... Vessel segmentation is a fundamental task in medical image analysis and plays an important role in computer-aided diagnosis,lesion localization,vascular morphology analysis,and subsequent three-dimensional reconstruction.However,blood vessels usually exhibit elongated shapes,complex branching patterns,significant scale variations,and locally low contrast.Under challenging conditions such as complex backgrounds,noise interference,and blurred boundaries,tiny vessels are prone to missed detection,while background textures and spurious edges are easily misclassified as vessels,resulting in increased false positives.To address these issues,this paper proposes a prior-guided vessel segmentation method with false positive suppression.The proposed method adopts an encoderdecoder architecture as the backbone and introduces a Vessel False Positive Suppression Gate(VFPSGate)into the skip connections during the decoding stage.By integrating vessel region priors and edge priors,the shallow features are recalibrated in a suppression-oriented manner,thereby reducing the interference of background noise and non-vascular high responses on segmentation results.In addition,a Vessel False Positive Suppression Loss(VFPSLoss)is designed to impose extra constraints on abnormally high responses in background regions that are not supported by the priors,thus enhancing the model’s targeted suppression ability against false positives at the optimization level.Experimental results on the DCA dataset demonstrate that the proposed method achieves competitive performance,with IoU,DSC,ACC,and SEN reaching 66.49%,79.72%,97.88%,and 85.16%,respectively.Overall,the proposed method can more effectively distinguish real vessels from pseudo-vessels,providing a feasible solution for vessel segmentation under complex background conditions. 展开更多
关键词 Vessel segmentation Medical image analysis False positive suppression Prior guidance
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Factors associated with false fecal immunochemical test results in colorectal cancer screening 认领 引用
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作者 Shu-Yuan Wang Xue-Tao Dong +10 位作者 Zhen Yuan Lei-Xin Jin Wei-Feng Gao You-Kui Han Ke-Min Ni Zhao-Ce Liu Jun-Ying Wang Xiao-Meng Wei Xiao-Min Su Xi Peng Chun-Ze Zhang 《World Journal of Gastrointestinal Oncology》 SCIE 2025年第4期131-143,共13页
BACKGROUND Certain subgroups are at an increased risk of false fecal immunochemical test(FIT)results;however,related studies are limited,and the available evidence is conflicting.AIM To evaluate factors associated wit... BACKGROUND Certain subgroups are at an increased risk of false fecal immunochemical test(FIT)results;however,related studies are limited,and the available evidence is conflicting.AIM To evaluate factors associated with false-positive and false-negative FIT results.METHODS This retrospective study was based on the database of the Tianjin Colorectal Cancer Screening Program from 2012 to 2020.A total of 4129947 residents aged 40-74 years completed at least one FIT.Of these,24890 asymptomatic participants who underwent colonoscopy examinations and completed lifestyle questionnaires were included in the analysis.Multivariable logistic regression was performed to identify the factors associated with false FIT results.RESULTS Among the overall screening population,88687(2.15%)participants tested positive for FIT.The sensitivity,specificity,positive predictive value,and negative predictive value of FIT for advanced neoplasms were 58.2%,44.8%,9.7%,and 91.3%,respectively.Older age,female sex,smoking,alcohol consumption,higher body mass index,and hemorrhoids were significantly associated with increased odds of false-positive and lower odds of falsenegative FIT results.Moreover,features of high-grade dysplasia or villous for advanced adenoma and the presence of cancer were also associated with lower odds of false-negative results,while irregular exercise and diverticulum were associated with higher odds of false-positive results.CONCLUSION FIT results may be inaccurate in certain subgroups.Our results provide important evidence for further individualization of screening strategies. 展开更多
关键词 Fecal immunochemical test Advanced colorectal neoplasm False positive False negative Colorectal cancer screening
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A rapid and visual detection method for porcine deltacoronavirus with single-copy sensitivity based on the CRISPR/Cas12a assay 认领 引用 被引量：1
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作者 Zezhao Cao Zi Li +9 位作者 Kaikai Jin Zanheng Huang Ruijie Hu Junchao Shi Huabo Yu Gaili Wang Wenqi He Hualei Wang Yungang Lan Haili Zhang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第4期1736-1739,共4页
Highlights·By integrating RT-RAA with CRISPR/Cas12a,a portable,one-pot visual detection system was engineered,significantly minimizing the potential for false positives caused by aerosol contamination.·RT-RA... Highlights·By integrating RT-RAA with CRISPR/Cas12a,a portable,one-pot visual detection system was engineered,significantly minimizing the potential for false positives caused by aerosol contamination.·RT-RAA-CRISPR/Cas12a assay can complete the detection within 40 min,with a sensitivity as high as 3.9 copiesμL-1for single copy.Porcine deltacoronavirus(PDCo V)disease is an acute and highly contagious illness caused by the PDCo V. 展开更多
关键词 CRISPR Cas aerosol contamination rt raa crispr cas pdco v Porcine deltacoronavirus Visual detection False positives Rapid detection RT RAA
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Advancements and challenges in neuroimaging for the diagnosis of intracranial aneurysms:Addressing false positive diagnoses and emerging techniques 认领 引用
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作者 Nanthida Arora Sombat Muengtaweepongsa 《World Journal of Clinical Cases》 2025年第6期48-50,共3页
Despite advancements in neuroimaging,false positive diagnoses of intracranial aneurysms remain a significant concern.This article examines the causes,prevalence,and implications of such false-positive diagnoses.We dis... Despite advancements in neuroimaging,false positive diagnoses of intracranial aneurysms remain a significant concern.This article examines the causes,prevalence,and implications of such false-positive diagnoses.We discuss how conditions like arterial occlusion with vascular stump formation and infundibular widening can mimic aneurysms,particularly in the anterior circulation.The article compares various imaging modalities,including computer tomography angiogram,magnetic resonance imaging/angiography,and digital subtraction angiogram,highlighting their strengths and limitations.We emphasize the im-portance of accurate differentiation to avoid unnecessary surgical interventions.The potential of emerging technologies,such as high-resolution vessel wall ima-ging and deep neural networks for automated detection,is explored as promising avenues for improving diagnostic accuracy.This manuscript underscores the need for continued research and clinical vigilance in the diagnosis of intracranial aneurysms. 展开更多
关键词 Intracranial aneurysms Neuroimaging techniques Computed tomographic angiography Magnetic resonance angiography Digital subtraction angiography False positive diagnoses
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Spurious Strange Correlators in Symmetry-Protected Topological Phases 认领 引用
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作者 Wei-Liang Gao Jie-Yu Zhang +1 位作者 Zheng-Xin Liu Peng Ye 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第4期160-184,共25页
Strange correlator is a powerful tool widely used in detecting symmetry-protected topological(SPT)phases.However,the result of strange correlator crucially relies on the adoption of the reference state.In this work,we... Strange correlator is a powerful tool widely used in detecting symmetry-protected topological(SPT)phases.However,the result of strange correlator crucially relies on the adoption of the reference state.In this work,we report that an ill-chosen reference state can induce spurious long-range strange correlators in trivial SPT phases,leading to false positives in SPT diagnosis. 展开更多
关键词 spurious strange correlators symmetry protected topological phases false positives spt diagnosis reference state strange correlator
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A Hybrid Self-Supervised Learning Framework for Advanced Persistent Threat Detection 认领 引用
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作者 Marwan Ali Albahar 《Computers, Materials & Continua》 SCIE EI 2026年第7期2095-2128,共34页
Advanced Persistent Threats(APTs)are stealthy cyberattacks that can evade detection in system-level audit logs.Provenance graphs encode these logs as interacting entities and events,exposing a causal and dependency st... Advanced Persistent Threats(APTs)are stealthy cyberattacks that can evade detection in system-level audit logs.Provenance graphs encode these logs as interacting entities and events,exposing a causal and dependency structure that is often obscured in linear representations.Prior provenance-based detectors typically apply anomaly detection over such graphs,yet they frequently incur high false-positive rates and produce coarse grained alerts;moreover,approaches that heavily depend on node-specific identifiers(e.g.,file paths)can learn spurious correlations,reducing robustness and limiting reliability across heterogeneous workloads.In this paper,we present Self-Training Adaptive Graph Encoder(stage),a lightweight,self-supervised anomaly detection framework for provenance graphs that(i)trains without attack labels and(ii)enforces leakage-free model selection and thresholding with explicit control over false-alarm rates.STAGE uses learnable degree and node-type embeddings,processed by a compact two-layer Graph Convolutional Networks(GCN)with residual connections and dual pooling.A memory augmented attention module captures global benign prototypes,improving resilience to rare-but-legitimate behaviors,and suppressing false alarms.Training combines contrastive learning over augmented graph views with a one-class Support Vector Data Description(SVDD)objective that learns a compact benign hypersphere in the embedding space.Inference,STAGE fuses neural embeddings with fixed dimensional structural graph statistics and scores them using an ensemble of classical one-class detectors.As a result,STAGE attains strong ranking quality and practical operating points on two benchmarks:the StreamSpot and Wget datasets.In the StreamSpot dataset,STAGE achieves an AUC of 0.998,operating at 95%recall with a 0%false positive rate.On the Wget dataset,it attains an AUC of 0.998 and an average precision of 0.998,achieving 100%recall and 96%precision at a 4%false positive rate.Overall,STAGE demonstrates strong empirical separability for benign-only provenance-based detection and provides an explicit mechanism to trade off recall and false positive rate through predefined thresholding policies. 展开更多
关键词 Provenance graphs advanced persistent threats benign-only anomaly detection self-supervised learning false positive control
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False positive detection of serum cryptococcal antigens due to insufficient sample dilution:A case series 认领 引用 被引量：1
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作者 Wen-Yu Chen Cheng Zhong +1 位作者 Jian-Ying Zhou Hua Zhou 《World Journal of Clinical Cases》 SCIE 2023年第8期1837-1846,共10页
At present,with the development of technology,the detection of cryptococcal antigen(CRAG)plays an increasingly important role in the diagnosis of cryptococcosis.However,the three major CRAG detection technologies,late... At present,with the development of technology,the detection of cryptococcal antigen(CRAG)plays an increasingly important role in the diagnosis of cryptococcosis.However,the three major CRAG detection technologies,latex agglutination test(LA),lateral flow assay(LFA)and Enzyme-linked Immunosorbent Assay,have certain limitations.Although these techniques do not often lead to false-positive results,once this result occurs in a particular group of patients(such as human immunodeficiency virus patients),it might lead to severe consequences. 展开更多
关键词 Cryptococcosis Capsular antigen detection False positive Tissue Case report
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A new modification of false position method based on homotopy analysis method 认领 引用
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作者 Saeid Abbasbandy 廖世俊 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2008年第2期223-228,共6页
A new modification of false position method for solving nonlinear equations is presented by applying homotopy analysis method （HAM）. Some numerical illustrations are given to show the efficiency of algorithm.
关键词 false position method regula falsi method homotopy analysis method
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False Human Immunodeficiency Virus Test Results Associated with Rheumatoid Factors in Rheumatoid Arthritis 认领 引用 被引量：9
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作者 Yun-chun Li Fan Yang +3 位作者 Xiao-yun Ji Zhong-jun Fang Jun Liu Yue Wang 《Chinese Medical Sciences Journal》 CAS CSCD 2014年第2期103-106,共4页
Objective To investigate if immunological factors associated with rheumatoid arthritis(RA) affect the result of human immunodeficiency virus(HIV) screening by electrochemiluminescence immunoassay(ECLIA) and enzyme-lin... Objective To investigate if immunological factors associated with rheumatoid arthritis(RA) affect the result of human immunodeficiency virus(HIV) screening by electrochemiluminescence immunoassay(ECLIA) and enzyme-linked immunosorbent assay(ELISA). Methods 100 RA cases were enrolled from January 2012 to February 2013 into this study. HIV screening was conducted with ECLIA detecting both HIV-1 p24 antigen, HIV-1 and HIV-2 antibodies, with ELISA and colloidal gold method detecting HIV-1 and HIV-2 antibodies. The samples producing positive results were submitted to the Center for Disease Control for confirmation using Western blotting method. The antibody titers of rheumatoid factors(RF) including RF-IgG, RF-IgM, RF-IgA, and CCP-IgG were analyzed by ELISA. Results The HIV positive-rate determined by ECLIA was significantly higher than that by ELISA and colloidal gold method(P<0.01). The false-positive rate of HIV screening was associated with antibody titers of RF-IgG, RF-IgM, RF-IgA, and CCP-IgG in RA(P<0.01). Conclusion Immunological factors, including RF and anti-CCP antibody, may influence the screening of HIV by ECLIA, producing false-positive result. 展开更多
关键词 human immunodeficiency virus false positive rheumatoid arthritis antibody
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Development and Validation of Machine Learning Models for Lung Cancer Risk Prediction in High-Risk Population: A Retrospective Cohort Study 认领 引用 被引量：1
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作者 Yu Su Haoran Zhan +5 位作者 Shangyao Li Yitong Lu Ruhuan Ma Hai Fang Tingting Xu Yu Tian 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2025年第4期501-505,共5页
Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis[1-3].Although low-dose computed tomography(CT) screening can reduce mortal... Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis[1-3].Although low-dose computed tomography(CT) screening can reduce mortality, high false positive rates can create economic and psychological burdens. 展开更多
关键词 lung cancer retrospective cohort study lung cancer risk prediction low dose computed tomography high risk population mortality machine learning false positive rates
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False Positive HIV “Combo” Screening Test in a Hemodialysis Patient in Saudi Arabia: A Case Report and Review of the Literature 认领 引用
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作者 Ngozi Virginia Aikpokpo Ahmed Yayha Omaysh 《Case Reports in Clinical Medicine》 2024年第9期366-374,共9页
Introduction: HIV screening tests are routinely conducted on dialysis patients as the constant exposure of their blood during the dialysis process makes them a reasonable risk for blood-borne infections. However, in l... Introduction: HIV screening tests are routinely conducted on dialysis patients as the constant exposure of their blood during the dialysis process makes them a reasonable risk for blood-borne infections. However, in low prevalence settings, where HIV rates are <0.1% of the population, false positive results are more likely. This results in apprehension in the dialysis unit as breaches in infectious disease protocols could be presumed. This is illustrated in the case report below. Case Summary: A 62-year-old male Saudi end-stage kidney disease patient secondary to DM nephropathy began dialysis a year before presentation in a hemodialysis center in Saudi Arabia. Routine screening tests done at the start of dialysis revealed negative Hepatitis C, HIV 1 and 2 screening but a positive Hepatitis B surface antigen screen. The patient went for holiday dialysis at another facility and had a routine fourth-generation HIV test done which was positive. A confirmatory HIV PCR test was negative. Conclusion: This case highlights the need for caution in interpreting highly sensitive and specific HIV screening tests in a low-prevalence setting. Routine screening beyond the national recommendation may not be necessary in low-prevalence areas. 展开更多
关键词 Saudi Arabia False Positive HIV Test Hemodialysis
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Benchmarking Approach to Compare Web Applications Static Analysis Tools Detecting OWASP Top Ten Security Vulnerabilities 认领 引用 被引量：7
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作者 Juan R.Bermejo Higuera Javier Bermejo Higuera +2 位作者 Juan A.Sicilia Montalvo Javier Cubo Villalba Juan JoséNombela Pérez 《Computers, Materials & Continua》 SCIE EI 2020年第9期1555-1577,共23页
To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities ... To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality. 展开更多
关键词 Web application benchmark security vulnerability Security Analysis Static Tools assessment methodology false positive false negative precision f-measure
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A Hybrid Intrusion Detection Method Based on Convolutional Neural Network and AdaBoost 认领 引用 被引量：2
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作者 Wu Zhijun Li Yuqi Yue Meng 《China Communications》 SCIE CSCD 2024年第11期180-189,共10页
To solve the problem of poor detection and limited application range of current intrusion detection methods,this paper attempts to use deep learning neural network technology to study a new type of intrusion detection... To solve the problem of poor detection and limited application range of current intrusion detection methods,this paper attempts to use deep learning neural network technology to study a new type of intrusion detection method.Hence,we proposed an intrusion detection algorithm based on convolutional neural network(CNN)and AdaBoost algorithm.This algorithm uses CNN to extract the characteristics of network traffic data,which is particularly suitable for the analysis of continuous and classified attack data.The AdaBoost algorithm is used to classify network attack data that improved the detection effect of unbalanced data classification.We adopt the UNSW-NB15 dataset to test of this algorithm in the PyCharm environment.The results show that the detection rate of algorithm is99.27%and the false positive rate is lower than 0.98%.Comparative analysis shows that this algorithm has advantages over existing methods in terms of detection rate and false positive rate for small proportion of attack data. 展开更多
关键词 AdaBoost CNN detection rate false positive rate feature extraction intrusion detection
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Abnormal Event Correlation and Detection Based on Network Big Data Analysis 认领 引用 被引量：2
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作者 Zhichao Hu Xiangzhan Yu +1 位作者 Jiantao Shi Lin Ye 《Computers, Materials & Continua》 SCIE EI 2021年第10期695-711,共17页
With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack p... With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack patterns from massive data and detect attacks are urgent problems.In this paper,an approach for attack mining and detection is proposed that performs tasks of alarm correlation,false-positive elimination,attack mining,and attack prediction.Based on the idea of CluStream,the proposed approach implements a flow clustering method and a two-step algorithm that guarantees efficient streaming and clustering.The context of an alarm in the attack chain is analyzed and the LightGBM method is used to perform falsepositive recognition with high accuracy.To accelerate the search for the filtered alarm sequence data to mine attack patterns,the PrefixSpan algorithm is also updated in the store strategy.The updated PrefixSpan increases the processing efficiency and achieves a better result than the original one in experiments.With Bayesian theory,the transition probability for the sequence pattern string is calculated and the alarm transition probability table constructed to draw the attack graph.Finally,a long-short-term memory network and embedding word-vector method are used to perform online prediction.Results of numerical experiments show that the method proposed in this paper has a strong practical value for attack detection and prediction. 展开更多
关键词 Attack scene false positive alarm correlation sequence mining multi-step attack
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Do the benefits outweigh the side effects of colorectal cancer surveillance? A systematic review 认领 引用 被引量：1
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作者 Knut Magne Augestad Johnie Rose +2 位作者 Benjamin Crawshaw Gregory Cooper Conor Delaney 《World Journal of Gastrointestinal Oncology》 SCIE 2014年第5期104-111,共8页
Most patients treated with curative intent for colorectal cancer(CRC) are included in a follow-up program involving periodic evaluations. The survival benefits of a follow-up program are well delineated, and previous ... Most patients treated with curative intent for colorectal cancer(CRC) are included in a follow-up program involving periodic evaluations. The survival benefits of a follow-up program are well delineated, and previous meta-analyses have suggested an overall survival improvement of 5%-10% by intensive follow-up. However, in a recent randomized trial, there was no survival benefit when a minimal vs an intensive follow-up program was compared. Less is known about the potential side effects of follow-up. Well-known side effects of preventive programs are those of somatic complications caused by testing, negative psychological conse-quences of follow-up itself, and the downstream impact of false positive or false negative tests. Accordingly, the potential survival benefits of CRC follow-up must be weighed against these potential negatives. The present review compares the benefits and side effects of CRC follow-up, and we propose future areas for research. 展开更多
关键词 Colorectal cancer Follow-up Surveillance False positive Cancer survivorship
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L-priorities Bloom Filter: A New Member of the Bloom Filter Family 认领 引用 被引量：1
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作者 Huang-Shui Hu Hong-Wei Zhao Fei Mi 《International Journal of Automation and computing》 2012年第2期171-176,共6页
A Bloom filter is a space-efficient data structure used for concisely representing a set as well as membership queries at the expense of introducing false positive. In this paper, we propose the L-priorities Bloom fil... A Bloom filter is a space-efficient data structure used for concisely representing a set as well as membership queries at the expense of introducing false positive. In this paper, we propose the L-priorities Bloom filter （LPBF） as a new member of the Bloom filter （BF） family, it uses a limited multidimensional bit space matrix to replace the bit vector of standard bloom filters in order to support different priorities for the elements of a set. We demonstrate the time and space complexity, especially the false positive rate of LPBF. Furthermore, we also present a detailed practical evaluation of the false positive rate achieved by LPBF. The results show that LPBF performs better than standard BFs with respect to false positive rate. 展开更多
关键词 Bloom filter bit space matrix false positive L-priorities time and space complexity.
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