Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 “ i ntelligently Selection of Trust Recommendations based on Dissimilarity factor ( i STRD)” has been devised for Mobile Ad Hoc Networks.   i STRD 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 ll as dishonest recommendations of “highly trustworthy recommenders”. Efficacy of proposed approach is evident from enhanced accuracy of “recognition rate”, “false rejection” and “false acceptance”.  Moreover, experiential results depict that  i STRD has unprecedented performance compared to contemporary techniques in presence of attacks asserted.
['Zakir Ullah', 'Muhammad Hasan Islam', 'Adnan Ahmed Khan', 'Sohail Sarwar']
I am writing a research paper on a idea Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks
[{"from": "human", "value": "I am writing a research paper on a idea Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 \u201c i ntelligently Selection of Trust Recommendations based on Dissimilarity factor ( i STRD)\u201d has been devised for Mobile Ad Hoc Networks.\u00a0  i STRD exploits\u00a0 personal experience of an \u201cevaluating node\u201d in conjunction with majority vote of the recommenders. It successfully removes the recommendations of \u201clow trustworthy recommenders\u201d as ll as dishonest recommendations of \u201chighly trustworthy recommenders\u201d. Efficacy of proposed approach is evident from enhanced accuracy of \u201crecognition rate\u201d, \u201cfalse rejection\u201d and \u201cfalse acceptance\u201d.\u00a0 Moreover, experiential results depict that  i STRD has unprecedented performance compared to contemporary techniques in presence of attacks asserted."}]