文章基本信息

标题：An Upgraded Identity Deception Detection Technique based on Non-Verbal Behavior Using PSO Approach
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作者：M. Preensta Ebenazer ; Dr. P. Sumathi
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311191
出版社：S&S Publications
摘要：Identity deception plays a significant role in real world applications, especially in online socialapplications. A number of users attempt to create multiple accounts and may involve in performing malicious activities.In this work, Wikipedia home pages are considered for the detection of identity deception where the concerns regardingfake users matters a lot. In the existing work, non-verbal behaviour based deception detection was introduced whichattempted to detect fake identities based on time window. However this work lacks from efficient detection ofdeception accounts due to the absence of selecting an optimal time window process. Larger time window resulted inmore time consumption for detecting an identity deception. This problem is resolved in this approach by introducing anoptimal time window selection process through which efficient detection of identity deception can be achieved withlimited time period. An optimal result is achieved using the Particle Swarm Optimization approach which attempts toselect the most optimal set of variables based on the time window selection process. The main objective of theproposed research is to achieve reduced time consumption by selecting the most optimal time window. Experimentaltests were conducted which proves that the proposed approach provides better result than the existing methodology interms of increased accuracy and reduced time complexity.
关键词：Fake users; Wikipedia; identity deception; time window and optimal time window variable