教師資料查詢 | 類別: 會議論文 | 教師: 張世豪 SHIH-HAO CHANG (瀏覽個人網頁)

標題:Detection of Sybil Attacks in Participatory Sensing using Cloud based Trust Management System
學年
學期
發表日期2013/11/20
作品名稱Detection of Sybil Attacks in Participatory Sensing using Cloud based Trust Management System
作品名稱(其他語言)
著者Chang, Shih-Hao; Chuang, Hao-Wen; Ho, Cheng-Han; Cheng, Shin-Ming; Chung, Ping-Tsai
作品所屬單位淡江大學資訊工程學系
出版者
會議名稱
會議地點TAIPEI, TAIWAN
摘要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.
關鍵字Participatory Sensing;Sybil Attack;Network
Trustworthiness;Characteristics Checker;Consensus-based
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20131120~20131121
通訊作者張世豪
國別中華民國
公開徵稿Y
出版型式
出處8th International Symposium on Wireless Pervasive Computing ISWPC 2013, 5p.
相關連結
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