Eşler Arası Ağlarda Güven Yönetiminin Genetik Programlama İle Sağlanması

Abstract

Within the context of this thesis, trust management in the peer-to-peer systems is provided with a model which trains and improves itself according to the attackers. With the help of genetic programming, a model which evolves and removes malicious peers by detecting their characteristics is developed. Using the model based on peers direct interactions with each other and recommendations from neighbors, attacks of malicious peers in the system are tried to be prevented. The model trained for different situations and attack types, is tested in various configurations and successful results are obtained.