Protecting Mobile Crowd Sensing against Sybil Attacks Using Cloud Based Trust Management System

المؤلفون المشاركون

Chang, Shih-Hao
Chen, Zhi-Rong

المصدر

Mobile Information Systems

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-05-31

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

هندسة الاتصالات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1111567