Results 61 to 70 of about 4,679 (205)

Construction and Performance Analysis of Image Steganography-based Botnet in KakaoTalk Openchat

Computers, 2019
Once a botnet is constructed over the network, a bot master and bots start communicating by periodically exchanging messages, which is known as botnet C&C communication, in order to send botnet commands to bots, collect critical information stored in
Jaewoo Jeon, Youngho Cho
doaj   +1 more source

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

Representing Botnet-enabled Cyber-attacks and Botnet-takedowns using Club Theory

, 2015
The literature on botnet-enabled cyber-attacks and the literature on botnet takedowns have progressed independently from each other. In this research, these two literature streams are brought together.
Adegboyega, Olukayode
core   +1 more source

Improving spam botnet detection through convolutional model and geolocation feature enhancement in a novel three-class classification task

International Journal of Intelligent Networks
Botnet detection remains a critical and challenging area in the field of information security, primarily due to the intricate architectures and sophisticated attack mechanisms employed by botnets.
Florentino Benedictus, Muhammad Aidiel Rachman Putra, Tohari Ahmad, Choiru Za’in, Tony de Souza-Daw   +4 more
doaj   +1 more source

Botnet Detection Using On-line Clustering with Pursuit Reinforcement Competitive Learning (PRCL)

Emitter: International Journal of Engineering Technology, 2018
Botnet is a malicious software that often occurs at this time, and can perform malicious activities, such as DDoS, spamming, phishing, keylogging, clickfraud, steal personal information and important data.
Yesta Medya Mahardhika, Amang Sudarsono, Ali Ridho Barakbah   +2 more
doaj   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Farhad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source

An evaluation of current and future botnet defenses

, 2010
Botnets are large networks of compromised machines under the control of a bot master. These botnets constantly evolve their defences to allow the continuation of their malicious activities. The constant development of new botnet mitigation strategies and
White, Andrew
core  

Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification

Engineering Reports, Volume 8, Issue 1, January 2026.
Overview of the proposed RF–ViT ensemble for multi‐class malware classification. Textual (BoW/byte‐frequency) and visual representations are combined via a product rule, achieving improved accuracy and robustness over individual models. ABSTRACT Malware remains a significant concern for modern digital systems, increasing the need for reliable and ...
Fadi Makarem, Rida El Chall, Abed Ellatif Samhat, Khouloud Samrouth, Nader Bakir   +4 more
wiley   +1 more source

A Survey of Botnet Architecture and Batnet Detection Techniques

, 2014
[[abstract]]Botnet is an urgent problem that has impact on information security and reduces confidentiality, integrity and availability of certain service.
Cheng-Yi Liu;Chih-Hsiang Peng;Iuon-Chang Lin
core  

RRF‐IPS: A Real‐Time Reputation‐Based Intrusion Prevention System

Engineering Reports, Volume 8, Issue 1, January 2026.
RRF‐IPS: A Real‐Time Reputation‐Based Intrusion Prevention System. ABSTRACT With the rapid development of technologies such as cloud computing and the Internet of Things, organizations face the thorny reality that network attacks are becoming increasingly diverse, covert, and intelligent.
Zhenghao Qian, Fengzheng Liu, Mingdong He, Bo Li, Xuewu Li, Chuangye Zhao, Gehua Fu, Yifan Hu   +7 more
wiley   +1 more source