Trust and reputation systems in e-commerce are vulnerable to various attacks by adversaries seeking to benefit from them. These attacks include bad mouthing, newcomer, sybil, and collusion. Researchers have developed methods to detect and protect against adversarial behavior, but smart adversaries can still find ways to bypass these security measures. The main goal of the study is to analyze these attacks and propose security methods that can resist or prevent them regardless of the adversary's cleverness. The study also focuses on reliably identifying adversaries among participants in transactions and how this affects security measures.