關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System

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序號 學年期 教師動態
1 104/2 資工系 張世豪 副教授 期刊論文 發佈 Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System. , [104-2] :Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System.期刊論文Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System.Shih-Hao Chang; Zhi-Rong ChenMobile Crowd Sensing;Sybil Attack;Cloud Computing;Trustworthiness Management;Network SecurityMobile Information Systems 2016, 6506341(10 pages)Mobile crowd sensing (MCS) arises as a new sensing paradigm, which leverages citizens for large-scale sensing by various mobile devices to efficiently collect and share local information. Unlike other MCS application challenges that consider user privacy and data trustworthiness, this study focuses on the network trustworthiness problem, namely Sybil attacks in MCS network. The Sybil attack in computer security is a type of security attacks, which illegally forge multiple identities in peer-to-peer networks, namely Sybil identities. These Sybil identities will falsify multiple identities to negatively influence to reduce the
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