To Detect Genuine And Fradulent User Review In Online Social Network

Data Mining

Social networking is one of the most popular segment in today era. People with small group make communication with other social network. People use this segment for almost all purpose including shopping and lots of things. Online shopping is most popular in online social network. The use of online shopping has increased which make way for malicious attacks. The users give wrong recommendation to their friends use fraudulent ways. This is some time the causes of the malicious attack. The attacker which intentionally give the misleading recommendation to their friends so as to disturb the normal sales distribution. This fraud recommendations should be detected. Though there are many techniques for finding honest and dishonest reviews but are not supposed to be perfect. So it is necessary to propose technique that should give the perfect classification of genuine and fraud recommenders by using the data mining techniques and naive baye’s algorithm.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.