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:The Sybil Attack in Participatory Sensing: Detection and Analysis
學年102
學期2
發表日期2014/06/13
作品名稱The Sybil Attack in Participatory Sensing: Detection and Analysis
作品名稱(其他語言)
著者Shih-Hao Chang; Kuo-Kun Tseng; Shin-Ming Cheng
作品所屬單位
出版者
會議名稱Intelligent Data analysis and its Applications, Volume I
會議地點Shenzhen, China
摘要Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. Nevertheless, one of the most important issues and misgiving about participatory sensing applications is security. Different from other participatory sensing application challenges who consider user privacy and data trustworthiness, we consider network trustworthiness problem namely Sybil attacks in participatory sensing. Sybil attacks is a particularly harmful attack against participatory sensing application, where Sybil attacks focus on creating multiple online user identities called Sybil identities and try to achieve malicious results through these identities. In this paper, we proposed a Hybrid Trust Management (HTM) framework for detecting and analyze Sybil attacks in participatory sensing network. Our HTM was proposed for performing Sybil attack characteristic check and trustworthiness management system to verify coverage nodes in the participatory sensing. To verify the proposed framework, we are currently developing the proposed scheme on OMNeT++ network simulator in multiple scenarios to achieve Sybil identities detection in our simulation environment.
關鍵字Cloud Computing;Trust Management;Cloud Service Provider;Adaptive Threshold;Reputation System
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20140613~20140615
通訊作者
國別中國
公開徵稿
出版型式
出處
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