Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System.
學年 104
學期 2
出版（發表）日期 2016-02-16
作品名稱 Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System.
作品名稱（其他語言）
著者 Shih-Hao Chang; Zhi-Rong Chen
單位
出版者
著錄名稱、卷期、頁數 Mobile Information Systems 2016, 6506341(10 pages)
摘要 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 effectiveness of sensing data in this MCS network or degrading entire network performance. To cope with this problem, a cloud based trust management scheme (CbTMS) was proposed to detect Sybil attacks in the MCS network. The CbTMS was proffered for performing active and passive checking scheme, in addition to the mobile PCS trustworthiness management and include a decision tree algorithm, to verify the covered nodes in the MCS network. Simulation studies shows that our CbTMS can efficiently detect the malicious Sybil nodes in the network and reduce 6.87 Wh compared with in a malicious Sybil node attack mode.
關鍵字 Mobile Crowd Sensing;Sybil Attack;Cloud Computing;Trustworthiness Management;Network Security
語言 en_US
ISSN 1574-017X; 1875-905X
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Shih-Hao Chang
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106212 )