Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81130
Title: TR-SDTN: Trust Based Efficient and Scalable Routing in Hostile Social DTNs
Authors: Zhang, Zhenjing
Ma, Maode
Jin, Zhigang
Issue Date: 2015
Source: Zhang, Z., Ma, M., & Jin, Z. (2015). TR-SDTN: Trust Based Efficient and Scalable Routing in Hostile Social DTNs. International Journal of Distributed Sensor Networks, 2015, 690482-.
Series/Report no.: International Journal of Distributed Sensor Networks
Abstract: A delay tolerant network (DTN) presents a new communication model, which uses a store-carry-forward approach to deliver messages due to the nature of the network. With the development of the mobile internet, the research on DTNs becomes a hot topic. One critical issue in the DTNs with social characteristics is that there could exist selfish and malicious nodes which block important data and as a result intentionally disturb the communication. Although there are many research works which address the issue and adopt various trust models to encourage nodes to forward information, most of them have not considered the social characteristics of the mobile nodes and they have not handled the selfish behaviors and attacks in a systematic way. In view of these defects, we propose a novel solution to address the selfish and security issues in social DTNs. Based on nodes’ social characteristics, a dynamic trust model is proposed to prevent bad-mouthing and ballot stuffing attacks and the Shannon entropy function is introduced to avoid blackhole and greyhole attacks. The simulation results show that our proposed scheme can significantly improve the performance of social DTNs. And the simulation is proved to be consistent with the results from theoretical analysis.
URI: https://hdl.handle.net/10356/81130
http://hdl.handle.net/10220/39074
ISSN: 1550-1329
DOI: 10.1155/2015/690482
Rights: © 2015 Zhenjing Zhang et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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