Title :
Threat Analysis and malicious user detection in reputation systems using Mean Bisector Analysis and Cosine Similarity (MBACS)
Author :
Jnanamurthy, H.K. ; Warty, Chirag ; Singh, Sushil
Author_Institution :
Dept. of Inf. & Commun. Technol., Manipal Univ., Manipal, India
Abstract :
Feedback reputation systems are gaining popularity as dealing with unfair ratings in reputation systems has been recognized as an important but difficult task. This problem is challenging when the number of true user ratings is relatively small and unfair ratings plays majority in rated values. In this paper, we propose a new method to find malicious users in online reputation systems using Mean Bisector Analysis and Cosine Similarity (MBACS). Here the effort is mainly concentrated on abnormals in both rating-values domain and the malicious users domain. MBACS is very efficient to detect malicious user ratings and aggregate trustful ratings. The proposed reputation system is evaluated through simulations, MBACS system can significantly reduce the impact of unfair ratings.
Keywords :
feedback; trusted computing; MBACS system; feedback reputation systems; malicious user detection; malicious user ratings; malicious users domain; mean bisector analysis and cosine similarity; online reputation systems; rating values domain; threat analysis; true user ratings; unfair ratings; Aggregates; Algorithm design and analysis; Bayes methods; Boosting; Correlation; Data analysis; Sensitivity; Feedback Reputation System; Malicious User Detection; Online Reputation System; Trust in e-commerce;
Conference_Titel :
India Conference (INDICON), 2013 Annual IEEE
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-2274-1
DOI :
10.1109/INDCON.2013.6726055