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 …

Multilayer framework for botnet detection using machine learning algorithms

WNH Ibrahim, S Anuar, A Selamat, O Krejcar… - IEEE …, 2021 - ieeexplore.ieee.org
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet
can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and …

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 …

Machine-learning-based white-hat worm launcher in botnet defense system

X Pan, S Yamaguchi, T Kageyama… - International Journal of …, 2022 - igi-global.com
This article proposes a white-hat worm launcher based on machine learning (ML) adaptable
to large-scale IoT network for Botnet Defense System (BDS). BDS is a cyber-security system …

Anomaly detection using dynamic time warping

DM Diab, B AsSadhan, H Binsalleeh… - … (CSE) and IEEE …, 2019 - ieeexplore.ieee.org
Analyzing network traffic behavior is essential for detecting network anomalies. However, it
remains a challenge to effectively analyze this behavior for anomaly diagnosis. One …

[HTML][HTML] Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression

G Wu, X Wang, Q Lu, H Zhang - Expert Systems with Applications, 2024 - Elsevier
A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the
most dangerous threats on the internet. Individuals or organizations can effectively detect …

Botnet fingerprinting: A frequency distributions scheme for lightweight bot detection

A Blaise, M Bouet, V Conan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Efficient bot detection is a crucial security matter and widely explored in the past years.
Recent approaches supplant flow-based detection techniques and exploit graph-based …

Denial of service detection using dynamic time warping

DM Diab, B AsSadhan, H Binsalleeh… - … Journal of Network …, 2021 - Wiley Online Library
With the rapid growth of security threats in computer networks, the need for developing
efficient security‐warning systems is substantially increasing. Distributed denial‐of‐service …

Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning

S Niktabe, AH Lashkari, AH Roudsari - Peer-to-Peer Networking and …, 2024 - Springer
Encrypted domain name resolution can reduce the risk of privacy leakage for Internet users.
However, it may also prevent network administrators from detecting suspicious …

An efficient botnet detection approach based on feature learning and classification

B Padmavathi, B Muthukumar - Journal of Control and Decision, 2023 - Taylor & Francis
Bot detection is considered a crucial security issue that is extensively analysed in various
existing approaches. Machine Learning is an efficient way of botnet attack detection. Bot …