Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks

摘要: Trust recommendations, having a pivotal role in computation of trust and hence confidence peer to (P2P) environment, if hampered, may entail colossal attacks from dishonest recommenders such as bad mouthing, ballot stuffing, random opinion etc. Therefore, mitigation recommendations is stipulated challenging research issue P2P systems (esp Mobile Ad Hoc Networks). In order cater these challenges associated with technique named “ i ntelligently Selection Recommendations based on Dissimilarity factor ( STRD)” has been devised for Networks.  STRD exploits  personal experience an “evaluating node” conjunction majority vote the recommenders. It successfully removes “low trustworthy recommenders” well “highly recommenders”. Efficacy proposed approach evident enhanced accuracy “recognition rate”, “false rejection” acceptance”.  Moreover, experiential results depict that unprecedented performance compared contemporary techniques presence asserted.