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    題名: Protecting Participatory Sensing Using Cloud Based Trust Management System against Sybil Attack
    作者: Shih-Hao Chang;Yeong-Sheng Chen;Naveen Chilamkurti;Seungmin Rho
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Participatory sensing;Sybil attacks;Cloud Computing;Trust Management System
    日期: 2015
    上傳時間: 2014-09-25
    出版者: New York: Hindawi Publishing Corporation
    摘要: Participatory sensing is an innovative model in mobile sensing network which allows volunteers to collect and share information from their local environment by using mobile phones. Unlike other participatory sensing application challenges which consider user privacy and data trustworthiness, we consider the network trustworthiness problem, namely, Sybil attacks, in participatory sensing. A Sybil attack is defined as a malicious illegal presentation of multiple identities, called Sybil identities.These Sybil identities will intend to spread misinformation to reduce the effectiveness of sensing data in the participatory sensing network. To cope with this problem, a cloud based trust management scheme (CbTMS) framework was proposed to detect Sybil attacks in a participatory sensing network. The CbTMS was proffered for performing Sybil attack characteristic checks, in addition to a trustworthiness management system, to verify coverage nodes in participatory sensing. Simulation studies show that the proposed CbTMS can efficiently detect numerous defined malicious Sybil nodes with lower power consumption in the network.
    關聯: The Scientific World Journal 2014, 610989(9 pages)
    DOI: 10.1155/2014/610989
    顯示於類別:[資訊工程學系暨研究所] 期刊論文


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