Botnet communication patterns

G Vormayr, T Zseby, J Fabini - IEEE Communications Surveys & …, 2017 - ieeexplore.ieee.org
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 …

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 …

N-baiot—network-based detection of iot botnet attacks using deep autoencoders

Y Meidan, M Bohadana, Y Mathov… - IEEE Pervasive …, 2018 - ieeexplore.ieee.org
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 …

An empirical comparison of botnet detection methods

S Garcia, M Grill, J Stiborek, A Zunino - computers & security, 2014 - Elsevier
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 …

Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection

A Al Shorman, H Faris, I Aljarah - Journal of Ambient Intelligence and …, 2020 - Springer
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 …

Forensics and deep learning mechanisms for botnets in internet of things: A survey of challenges and solutions

N Koroniotis, N Moustafa, E Sitnikova - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Detecting botnet by using particle swarm optimization algorithm based on voting system

M Asadi, MAJ Jamali, S Parsa… - Future Generation …, 2020 - Elsevier
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 …

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 …

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 …

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 …