A survey of botnet detection based on DNS

K Alieyan, A ALmomani, A Manasrah… - Neural Computing and …, 2017 - Springer
Botnet is a thorny and a grave problem of today's Internet, resulting in economic damage for
organizations and individuals. Botnet is a group of compromised hosts running malicious …

Issues and challenges in DNS based botnet detection: A survey

M Singh, M Singh, S Kaur - Computers & Security, 2019 - Elsevier
Cybercrimes are evolving on a regular basis and as such these crimes are becoming a
greater threat day by day. Earlier these threats were very general and unorganized. In the …

An efficient reinforcement learning-based Botnet detection approach

M Alauthman, N Aslam, M Al-Kasassbeh… - Journal of Network and …, 2020 - Elsevier
The use of bot malware and botnets as a tool to facilitate other malicious cyber activities (eg
distributed denial of service attacks, dissemination of malware and spam, and click fraud) …

DNS rule-based schema to botnet detection

K Alieyan, A Almomani, M Anbar… - Enterprise Information …, 2021 - Taylor & Francis
Botnets are considered a serious issue today. They have several negative economic
impacts as well. Such impacts are affecting organizations and individuals. Recent botnets …

Botnet detection via mining of traffic flow characteristics

G Kirubavathi, R Anitha - Computers & Electrical Engineering, 2016 - Elsevier
Botnet is one of the most serious threats to cyber security as it provides a distributed platform
for several illegal activities. Regardless of the availability of numerous methods proposed to …

Botnet detection using negative selection algorithm, convolution neural network and classification methods

S Hosseini, AE Nezhad, H Seilani - Evolving Systems, 2022 - Springer
Botnet is a network and internet risk. It is necessary to detect botnet by analyzing and
monitoring in order to quickly prevent them. Most approaches are proposed to detect bots …

Uncovering APT malware traffic using deep learning combined with time sequence and association analysis

W Niu, J Zhou, Y Zhao, X Zhang, Y Peng, C Huang - Computers & Security, 2022 - Elsevier
Traditional malware detection methods based on static traffic characteristics and machine
learning are hard to cope with the increasing number of APT malware variants. In order to …

Benchmarking the effect of flow exporters and protocol filters on botnet traffic classification

F Haddadi, AN Zincir-Heywood - IEEE Systems journal, 2014 - ieeexplore.ieee.org
Botnets represent one of the most aggressive threats against cyber security. Different
techniques using different feature sets have been proposed for botnet traffic analysis and …

The selection of feasible strategies based on consistency measurement of cliques

F Xu, M Cai, H Song, J Dai - Information Sciences, 2022 - Elsevier
Few studies of conflict analysis have analyzed conflict situations from the perspective of the
consistency degree of cliques. Quantifying the conflict degree is instructive for weakening or …

A network behavior-based botnet detection mechanism using PSO and K-means

SH Li, YC Kao, ZC Zhang, YP Chuang… - ACM Transactions on …, 2015 - dl.acm.org
In today's world, Botnet has become one of the greatest threats to network security. Network
attackers, or Botmasters, use Botnet to launch the Distributed Denial of Service (DDoS) to …