Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Abstract EN
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 attack, which illegally forges multiple identities in peer-to-peer networks, namely, Sybil identities.
These Sybil identities will falsify multiple identities that negatively influence 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 includes a decision tree algorithm, to verify the covered nodes in the MCS network.
Simulation studies show that our CbTMS can efficiently detect the malicious Sybil nodes in the network and cause 6.87 Wh power reduction compared with other malicious Sybil node attack mode.
American Psychological Association (APA)
Chang, Shih-Hao& Chen, Zhi-Rong. 2016. Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111567
Modern Language Association (MLA)
Chang, Shih-Hao& Chen, Zhi-Rong. Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System. Mobile Information Systems No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111567
American Medical Association (AMA)
Chang, Shih-Hao& Chen, Zhi-Rong. Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111567
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111567