DoS Detection Based on Mobile Agent and Naïve Bayes Filter

Presently, the most wondrous and powerful cyber-attacks are Dos flooding and its DDoS variant. This type of attack is expected to reduce the availability of a service to its legitimate customers. one of the most effective methods for detecting this type of intrusion into a distributed environment is the mobile agent. In this paper, we present the mobile agent-based techniques most commonly used to resist Dos flooding attack; we also propose a new distributed Denial of service filter system based on mobile agent and Naive Bayesian Filter, finally we will implement our solution with python language using Anaconda, Jupyter and Jade tools to present our experimental results.