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Power-Aware Anycast Routing in Wireless Sensor Network Exploiting Small World Effect 认领 引用
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作者 姜楠 杨淑群 +1 位作者 李领治 丁秋林 《Journal of Southwest Jiaotong University(English Edition)》 2008年第4期366-371,共6页
By considering energy-efficient anycast routing in wireless sensor network （WSN）, and combining small world characteristics of WSN with the properties of the ant algorithm, a power-aware anycast routing algorithm （... By considering energy-efficient anycast routing in wireless sensor network （WSN）, and combining small world characteristics of WSN with the properties of the ant algorithm, a power-aware anycast routing algorithm （SWPAR） with multi-sink nodes is pro- posed and evaluated. By SWPAR, the optimal sink node is found and the problem of routing path is effectively solved. Simulation results show that compared with the sink-based anycast routing protocol （SARP） and the hierarchy-based anyeast routing protocol （HARP）, the proposed algorithm improves network lifetime and reduces power consumption. 展开更多
关键词 Small world Ant colony algorithm Anycast routing Wireless sensor network
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A COMPARATIVE STUDY ON SHILLING DETECTION METHODS FOR TRUSTWORTHY RECOMMENDATIONS 认领 引用 被引量：3
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作者 Youquan Wang Liqiang Qian +1 位作者 Fanzhang Li Lu Zhang 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2018年第4期458-478,共21页
Uncovering shilling attackers hidden in recommender systems is very crucial to enhance the robustness and trustworthiness of product recommendation. Many shilling attack detection algorithms have been proposed so far,... Uncovering shilling attackers hidden in recommender systems is very crucial to enhance the robustness and trustworthiness of product recommendation. Many shilling attack detection algorithms have been proposed so far, and they exhibit complementary advantage and disadvantage towards various types of attackers. In this paper, we provide a thorough experimental comparison of several well-known detectors, including supervised C4.5 and NB, unsupervised PCA and MDS, semi-supervised HySAD methods, as well as statistical analysis methods. MovieLens 100K is the most widely-used dataset in the realm of shilling attack detection, and thus it is selected as the benchmark dataset. Meanwhile, seven types of shilling attacks generated by average-filling and random-filling model are compared in our experiments. As a result of our analysis, we show clearly causes and essential characteristics insider attackers that might determine the success or failure of different kinds of detectors. 展开更多
关键词 Recommender system shilling attack detection supervised classification unsupervisedclustering statistical analysis methods
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