Botnet attacks classification in AMI networks with recursive feature elimination (RFE) and machine learning algorithms

O Kornyo, M Asante, R Opoku, K Owusu-Agyemang… - Computers & …, 2023 - Elsevier
Abstract STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Escalation of
privilege) in advance metering infrastructure (AMI) and cloud computing have been …

Botnet attack detection using machine learning

M Alshamkhany, W Alshamkhany… - … on Innovations in …, 2020 - ieeexplore.ieee.org
With the advancement of computers and technology, security threats are also evolving at a
fast pace. Botnets are one such security threat which requires a high level of research and …

[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks

A Arshad, M Jabeen, S Ubaid, A Raza… - Decision Analytics …, 2023 - Elsevier
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …

[HTML][HTML] Synthetic minority oversampling technique for optimizing classification tasks in botnet and intrusion-detection-system datasets

D Gonzalez-Cuautle, A Hernandez-Suarez… - Applied Sciences, 2020 - mdpi.com
Presently, security is a hot research topic due to the impact in daily information infrastructure.
Machine-learning solutions have been improving classical detection practices, but detection …

[HTML][HTML] Hybrid model for bot group activity detection using similarity and correlation approaches based on network traffic flows analysis

DP Hostiadi, T Ahmad - Journal of King Saud University-Computer and …, 2022 - Elsevier
In this cyber era, botnets have been a serious threat to computer network security in that they
can infect computers connected to a network through malicious applications known as …

[PDF][PDF] Analysis of Botnet Attack Communication Pattern Behavior on Computer Networks.

MAR Putra, T Ahmad, DP Hostiadi - International Journal of Intelligent …, 2022 - inass.org
Botnets are a severe threat to a computer network, affecting various aspects of security
systems, including spreading malicious programs, phishing, sending spam messages, and …

[HTML][HTML] B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows

MAR Putra, T Ahmad, DP Hostiadi - Journal of Big Data, 2024 - Springer
Threats on computer networks have been increasing rapidly, and irresponsible parties are
always trying to exploit vulnerabilities in the network to do various dangerous things. One …

[HTML][HTML] Comprehensive botnet detection by mitigating adversarial attacks, navigating the subtleties of perturbation distances and fortifying predictions with conformal …

R Yumlembam, B Issac, SM Jacob, L Yang - Information Fusion, 2024 - Elsevier
Botnets are computer networks controlled by malicious actors that present significant
cybersecurity challenges. They autonomously infect, propagate, and coordinate to conduct …

A new approach to detecting bot attack activity scenario

DP Hostiadi, T Ahmad, W Wibisono - Proceedings of the 12th International …, 2021 - Springer
Botnets are a dangerous threat to computer networks. A botnet consists of a bot-master and
bot-client connected and communicated through command and control (C&C) servers …

Malware detection using power consumption and network traffic data

JH Jimenez… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Even though malware detection is an active area of research, not many works have used
features extracted from physical properties, such as power consumption. This paper is …