Botnet communication patterns
Malicious botnets have become a common threat and pervade large parts of the Internet
today. Existing surveys and taxonomies focus on botnet topologies, command and control …
today. Existing surveys and taxonomies focus on botnet topologies, command and control …
A taxonomy of botnet behavior, detection, and defense
S Khattak, NR Ramay, KR Khan… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
A number of detection and defense mechanisms have emerged in the last decade to tackle
the botnet phenomenon. It is important to organize this knowledge to better understand the …
the botnet phenomenon. It is important to organize this knowledge to better understand the …
N-baiot—network-based detection of iot botnet attacks using deep autoencoders
The proliferation of IoT devices that can be more easily compromised than desktop
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
An empirical comparison of botnet detection methods
The results of botnet detection methods are usually presented without any comparison.
Although it is generally accepted that more comparisons with third-party methods may help …
Although it is generally accepted that more comparisons with third-party methods may help …
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
Recently, the number of Internet of Things (IoT) botnet attacks has increased tremendously
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
Forensics and deep learning mechanisms for botnets in internet of things: A survey of challenges and solutions
The constant miniaturization of hardware and an increase in power efficiency, have made
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
Detecting botnet by using particle swarm optimization algorithm based on voting system
Botnets have recently been identified as serious Internet threats that are continually
developing and expanding. Identifying botnets in the domain of network security is regarded …
developing and expanding. Identifying botnets in the domain of network security is regarded …
Toward improved machine learning-based intrusion detection for Internet of Things traffic
S Alkadi, S Al-Ahmadi, MM Ben Ismail - Computers, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
A survey on botnets: Incentives, evolution, detection and current trends
SN Thanh Vu, M Stege, PI El-Habr, J Bang, N Dragoni - Future Internet, 2021 - mdpi.com
Botnets, groups of malware-infected hosts controlled by malicious actors, have gained
prominence in an era of pervasive computing and the Internet of Things. Botnets have …
prominence in an era of pervasive computing and the Internet of Things. Botnets have …
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 …