NDLI: Fuzzy trust recommendation based on collaborative filtering for mobile ad-hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Junhai Luo Xue Liu Yi Zhang Danxia Ye Zhong Xu
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu (Junhai Luo; Danxia Ye) \|\| Sch. of Comput. Sci., McGill Univ., Montreal, QC (Xue Liu; Zhong Xu) \|\| Sch. of Eng., Univ. of California, Santa Cruz, CA (Yi Zhang)
Abstract	Mobile ad-hoc networks (MANETs) are based on cooperative and trust characteristic of mobile nodes. Typically, nodes are both autonomous and self-organized without requiring a central administration or a fixed network infrastructure. Due to their distributed nature, MANETs are very vulnerable to various attacks. To enhance the security of MANETs, it is important to rate the trustworthiness of other nodes without central authorities to build up a trust environment. In this paper, we propose a fuzzy trust recommendation based on collaborative filtering, which stimulates collaboration among distributed computing and communicating nodes, facilitates the detection of untrustworthy nodes, and assists decision-making in various protocols for MANETs. Due to the uncertain interaction outcomes, we use fuzzy logic to model trust recommendation in a MANET environment. Our trust model combines direct trust and trust recommendation information based on collaborative filtering to allow nodes to represent and reason with uncertainty and imprecise information regarding other nodespsila trustworthiness. Simulation results show that the proposed model is flexible and valid.
Starting Page	305
Ending Page	311
File Size	266513
Page Count	7
File Format	PDF
ISBN	9781424424122
DOI	10.1109/LCN.2008.4664184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-14
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ad hoc networks Mobile computing Filtering Collaboration Computational modeling Fuzzy logic Mobile communication
Content Type	Text
Resource Type	Article

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