Machine learning-based botnet detection in software-defined network: A systematic review

K Shinan, K Alsubhi, A Alzahrani, MU Ashraf - Symmetry, 2021 - mdpi.com
In recent decades, the internet has grown and changed the world tremendously, and this, in
turn, has brought about many cyberattacks. Cybersecurity represents one of the most …

Detecting and mitigating botnet attacks in software-defined networks using deep learning techniques

MW Nadeem, HG Goh, Y Aun, V Ponnusamy - IEEE Access, 2023 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging architecture that enables flexible and
easy management and communication of large-scale networks. It offers programmable and …

An intelligent botnet blocking approach in software defined networks using honeypots

F Ja'fari, S Mostafavi, K Mizanian, E Jafari - Journal of Ambient Intelligence …, 2021 - Springer
Using a massive number of coordinated and distributed machines, botnets have become
one of the most sophisticated cyber threats. However, software defined networking leads to …

Review of botnet attack detection in SDN-enabled IoT Using machine learning

WG Negera, F Schwenker, TG Debelee, HM Melaku… - Sensors, 2022 - mdpi.com
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …

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 …

Botnet detection approach using graph-based machine learning

A Alharbi, K Alsubhi - Ieee Access, 2021 - ieeexplore.ieee.org
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML)
techniques have been widely used for botnet detection with flow-based features. The prime …

Survey on network‐based botnet detection methods

S García, A Zunino, M Campo - Security and Communication …, 2014 - Wiley Online Library
Botnets are an important security problem on the Internet. They continuously evolve their
structure, protocols and attacks. This survey analyzes and compares the most important …

A comparative analysis of machine learning techniques for botnet detection

A Bansal, S Mahapatra - … of the 10th international conference on security …, 2017 - dl.acm.org
Day by day more and more devices are getting connected to the Internet and with the advent
of the Internet of Things, this rate has had an exponential growth. The lack of security in …

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 …