Unlike other types of malware, botnets are characterized by their command and control (C&C) channels, through which a central authority, the botmaster, may use the infected computer to carry out malicious activities. Given the damage botnets are capable of causing, detection and mitigation of botnet threats are imperative. In this paper, we present a host-based method for detecting and differen...

Current techniques for detecting botnets examine traffic content for IRC commands, monitor DNS for strange usage, or set up honeynets to capture live bots. Our botnet detection approach is to examine flow characteristics such as bandwidth, packet timing, and burst duration for evidence of botnet command and control activity. We have constructed an architecture that first eliminates traffic that...

Covert channels have the unique quality of masking evidence that a communication has ever occurred between two parties. For spies and terrorist cells, this quality can be the difference between life and death. However, even the detection of communications in a botnet could be troublesome for its creators. To evade detection and prevent insights into the size and members of a botnet, covert chan...

This paper presents a threat to cyber resilience in the form of a conceptual model of a malware rebirthing botnet which can be used in a variety of scenarios. It can be used to collect existing malware and rebirth it with new functionality and signatures that will avoid detection by AV software and hinder analysis. The botnet can then use the customized malware to target an organization with an...

Botnets, networks of compromised machines that can be remotely controlled by an attacker, are one of the most common attack platforms nowadays. They can, for example, be used to launch distributed denial-of-service (DDoS) attacks, steal sensitive information, or send spam emails. A longterm measurement study of botnet activities is useful as a basis for further research on global botnet mitigat...

Botnets are one of the most serious threats to internet security. A botnet is a network of computers on internet which are under the influence of a malware code, oblivious to the owner of that computer and sends out transmissions (virus or spam) to other computers on internet. Botnet can be utilized for DoS attacks, phishing, spamming and many other fraudulent activities. Therefore, it is impor...

We propose a novel stream data classification technique to detect Peer to Peer botnet. Botnet traffic can be considered as stream data having two important properties: infinite length and drifting concept. Thus, stream data classification technique is more appealing to botnet detection than simple classification technique. However, no other botnet detection approaches so far have applied stream...

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...

Botnets are one of the main aggressive threats against cybersecurity. To evade the detection systems, recent botnets use the most common communication protocols on the Internet to hide themselves in the legitimate users traffic. From this perspective, most recent botnets are HTTP based and/or Peer-to-Peer (P2P) systems. In this work, we investigate whether such structural differences have any i...