Fast growth of Internet has brought some security concerns. One of these security concerns is Botnet. Bot and Botnets are new sophisticated kind of malware that is equipped with advanced features and have variety of applications. This paper reviews the current botnet detection frameworks and their advantages and drawbacks. To address the drawbacks we propose a conceptual holistic Botnet Detecti...

Botnets are known to be one of the most serious Internet security threats. In this survey, we review botnet architectures and their controlling mechanisms. Botnet infection behavior is explained. Then, known botnet models are outlined to study botnet design. Furthermore, Fast-Flux Service Networks (FFSN) are discussed in great details as they play an important role in facilitating botnet traffi...

We propose a set of metrics for efficient botnet detection. The proposed metrics captures the unique group behavior that is inherent in bot communications. Our premise for proposing group behavior metrics for botnet detection is that, group behavior observed in botnets are unique and this unique group behavior property is inherent in the botnet architecture. The proposed group behavior metrics ...

Automated bot/botnet detection is a difficult problem given the high level of attacker power. We propose a systematic approach for evaluating the evadability of detection methods. An evasion tactic has two associated costs: implementation complexity and effect on botnet utility. An evasion tactic’s implementation complexity is based on the ease with which bot writers can incrementally modify cu...

The presence of compromised hosts in any network degrades the performance in many ways. The compromised nodes form the botnet and the detection of them is most primary solution to improve the network performance. The problem of botnet detection has been approached in many ways using fl ow factors but does not produce a remarking solution. To improve the botnet detection effi ciency, a novel sta...

Botnet are identified as one of most emerging threats due to Cybercriminals work diligently to make most of the part of the users’ network of computers as their target. In conjunction with that, many researchers has conduct a lot of study regarding on the botnets and ways to detect botnet in network traffic. Most of them only used the feature inside the system without mentioning the feature inf...

The recent evolution of Internet to new paradigms such as network function virtualization and software defined networking poses new relevant challenges to the detection of Botnet attacks, calling for innovative approaches. In this work we propose a detection mechanism based on an Artificial Neural Net classifier trained by available data sets collected in conventional networks. We apply such de...

Botnets have evolved to become one of the most serious threats to the Internet and there is substantial research on both botnets and botnet detection techniques. This survey reviewed the history of botnets and botnet detection techniques. The survey showed traditional botnet detection techniques rely on passive techniques, primarily honeypots, and that honeypots are not effective at detecting p...

Botnet have already made a big impact that need much attention as one of the most emergent threats to the Internet security. More worst when the peer-to-peer (P2P) botnets take the inspiration and underlying P2P technology to exchange files making botnets much harder to detect and shut down. It make botnets are the biggest threat to internet stability and security. Hence, Botnet detection and p...