淡江大學機構典藏:Item 987654321/92889
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/92889


    Title: Detection of Sybil Attacks in Participatory Sensing using Cloud based Trust Management System
    Authors: Chang, Shih-Hao;Chuang, Hao-Wen;Ho, Cheng-Han;Cheng, Shin-Ming;Chung, Ping-Tsai
    Contributors: 淡江大學資訊工程學系
    Keywords: Participatory Sensing;Sybil Attack;Network Trustworthiness;Characteristics Checker;Consensus-based
    Date: 2013-11-22
    Issue Date: 2013-10-23 15:38:22 (UTC+8)
    Abstract: Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. Different from other participatory sensing application challenges who considers user privacy and data trustworthiness, we consider network trustworthiness problem namely Sybil attacks in participatory sensing. Sybil attacks focus on creating multiple online user identities called Sybil identities and try to achieve malicious results through these identities. They exploit inadvertent leakage of user privacy due to the inherent relationship between reputation information to affect the popularity, reputation, value and other characteristics of resources in participatory sensing. Therefore, the proposed Hybrid Reputation Monitoring (HRM) framework combined Characteristics Checking Scheme (CCS) and Consensus-Based Agent (CBA) to verify Sybil attacks. To verify the proposed framework, we currently implementing developed schemes on OMNeT++ network simulator in multiple scenarios to achieve Sybil identities detection in our simulation environment.
    Relation: 8th International Symposium on Wireless Pervasive Computing ISWPC 2013, 5p.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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