Add to ORKGInternational audienceNowadays, botnet-based attacks are the most prevalent cyber-threats type. It is therefore essential to detect this kind of malware using efficient bots detection techniques. This paper presents our security anomalies detection system, based on a model that we named Combined Forest. Our approach consists of merging some pre-processed Decision Trees to highlight different kinds of botnet by detecting their intrinsic exchanges. Using a supervised data approach, each tree is built from a labelled dataset. In order to achieve this, we aggregate the IP-flows into Traffic-flows to extract key features and avoid over-fitting. Then, we tested different machine learning algorithms and selected the most suitable one. After that, ...
Key words: network security; botnet; behaviors feature; similarity Abstract: How to detect Botnet ha...
Botnets continue to be a threat to organizations, thus various machine learning-based botnet detecto...
In this paper, we describe a detailed approach to develop a botnet detection system using machine le...
International audienceNowadays, botnet-based attacks are the most prevalent cyber-threats type. It i...
In recent years, botnets have become one of the major threats to information security because they h...
Many bot-based attacks have been recorded globally in recent years. To carry out their harmful actio...
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform...
Botnet forensic analysis helps in understanding the nature of attacks and the modus operandi used by...
Botnet attacks and the various techniques of propagation has constantly been a tricky challenge for ...
Botnets are some of the most recurrent cyber-threats, which take advantage of the wide heterogeneity...
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques hav...
Botnets have become a major security concern for organizations all over the globe, and detecting the...
Botnet detection represents one of the most crucial prerequisites of successful botnet neutralizatio...
Today, botnets are the most common threat on the Internet and are used as the main attack vector aga...
Abstract—Botnets (networks of compromised computers) are often used for malicious activities such as...
Key words: network security; botnet; behaviors feature; similarity Abstract: How to detect Botnet ha...
Botnets continue to be a threat to organizations, thus various machine learning-based botnet detecto...
In this paper, we describe a detailed approach to develop a botnet detection system using machine le...
International audienceNowadays, botnet-based attacks are the most prevalent cyber-threats type. It i...
In recent years, botnets have become one of the major threats to information security because they h...
Many bot-based attacks have been recorded globally in recent years. To carry out their harmful actio...
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform...
Botnet forensic analysis helps in understanding the nature of attacks and the modus operandi used by...
Botnet attacks and the various techniques of propagation has constantly been a tricky challenge for ...
Botnets are some of the most recurrent cyber-threats, which take advantage of the wide heterogeneity...
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques hav...
Botnets have become a major security concern for organizations all over the globe, and detecting the...
Botnet detection represents one of the most crucial prerequisites of successful botnet neutralizatio...
Today, botnets are the most common threat on the Internet and are used as the main attack vector aga...
Abstract—Botnets (networks of compromised computers) are often used for malicious activities such as...
Key words: network security; botnet; behaviors feature; similarity Abstract: How to detect Botnet ha...
Botnets continue to be a threat to organizations, thus various machine learning-based botnet detecto...
In this paper, we describe a detailed approach to develop a botnet detection system using machine le...