Table 1 - uploaded by Zhigang Jin
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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 mal...
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Context 1
... simulation experiments have been performed by using QualNet. Simulation parameters are shown in Table 1. As mentioned in system model, we set í µí± í µí°» = 0.7 and í µí± í µí° ¶ = 0.1 for 80% of the nodes at each hot spot and í µí± í µí°» = 0.5 and í µí± í µí° ¶ = 0.1 for other 20% nodes. ...
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Citations
... The focus of cryptography based security schemes is to protect the network from Outsider attacks while trust management schemes take a further step to protect the network from Insider attacks. These trust management schemes themselves are prone to different attacks such as bad mouthing, ballot stuffing, random opinion [10][11][12] etc. Our research is an attempt to shield trust management scheme(s) in MANETs from attacks stated, the very focus of this paper. ...
... Barring their assistance in trust management, these trust recommendations make trust management systems vulnerable to different attacks triggered by dishonest recommenders, i.e., recommenders give false trust recommendations deviating from their actual experiences [36] paving the way for attacks entailing in degraded performance of trust management system [17]. These attacks [10][11][12] are briefly described in following: ...
... (10) - (12). ...
Trust recommendations, having a pivotal role in computation of trust and hence confidence in peer to peer (P2P) environment, if hampered, may entail in colossal attacks from dishonest recommenders such as bad mouthing, ballot stuffing, random opinion etc. Therefore, mitigation of dishonest trust recommendations is stipulated as a challenging research issue in P2P systems (esp in Mobile Ad Hoc Networks). In order to cater these challenges associated with dishonest trust recommendations, a technique named "intelligently Selection of Trust Recommendations based on Dissimilarity factor (iSTRD)" has been devised for Mobile Ad Hoc Networks. iSTRD exploits personal experience of an "evaluating node" in conjunction with majority vote of the recommenders. It successfully removes the recommendations of "low trustworthy recommenders" as well as dishonest recommendations of "highly trustworthy recommenders". Efficacy of the proposed approach is evident from enhanced accuracy of "recognition rate", "false rejection" and "false acceptance". Moreover, experiential results depict that iSTRD has unprecedented performance compared to contemporary techniques in presence of attacks asserted.
