A survey of botnet detection based on DNS
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 …
organizations and individuals. Botnet is a group of compromised hosts running malicious …
Issues and challenges in DNS based botnet detection: A survey
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 …
greater threat day by day. Earlier these threats were very general and unorganized. In the …
An efficient reinforcement learning-based Botnet detection approach
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) …
distributed denial of service attacks, dissemination of malware and spam, and click fraud) …
DNS rule-based schema to botnet detection
Botnets are considered a serious issue today. They have several negative economic
impacts as well. Such impacts are affecting organizations and individuals. Recent botnets …
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 …
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 …
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 …
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
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 …
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 …
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 …
attackers, or Botmasters, use Botnet to launch the Distributed Denial of Service (DDoS) to …