Malicious User Nodes Detection by Web Mining Based Artificial Intelligence Technique
Gaurav Kumar, Vinay Rishiwal · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 2020
Recently, Social Networking is a significant function in human life. It is a foremost communication medium in the middle of persons and associations. Generally, Online Social Media Sites (OSMS) is used with the intention of developing and categorizing illegal behavior in social networking. Therefore, we decided to identify the malicious consumer nodes by the help of ANN through evaluating the response of the chat discussion/remark situation. At last, the ‘Protégé’ tool is used to illustrate the exchange of messages from the distrustful node for upcoming large-scale indication. The anticipated method is executed in the functioning platform of JAVA among Big Data Analytics with Hadoop.