CluSiBotHealer: Botnet Detection through Similarity Analysis of Clusters

Botnet Detection Through Fine Flow Classification

The prevalence of botnets, which is defined as a group of infected machines, have become the predominant factor among all the internet malicious attacks such as DDoS, Spam, and Click fraud. The number of botnets is steadily increasing, and the characteristic C&C channels have evolved from IRC to HTTP, FTP, and DNS, etc., and from the centralized structure to P2P and Fast Flux Network Services. ...

Adaptability of IRC Botnet Detection Method to P2P Botnet Detection

This report mainly discusses the adaptability of the IRC-based Bot detection method to be used in the P2P-based Bot detection. The first section introduces the IRC-based bot and the newly appeared P2P-based bot to see their difference. The second section shows the related work and the traditional method of BOTNET detection. The third section discusses the methodology used by the IRC based Botne...

Botnet Detection: A Numerical and Heuristic Analysis

Botnet Detection and Analysis Using Honeynet

We discuss some techniques currently used by intruders to control groups of compromised machines (botnets). We show how honeynets can be used to identify, monitor and understand the behavior of botnets. We describe a real attack in detail, illustrating analysis techniques developed specifically for botnets. The tools, network topology and strategies we describe can easily be adopted by other re...

BotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle

Nowadays, botnets are considered as essential tools for planning serious cyberattacks. Botnets are used to perform various malicious activities such as DDoSattacks and sending spam emails. Different approaches are presented to detectbotnets; however most of them may be ineffective when there are only a fewinfected hosts in monitored network, as they rely on similarity in...