Results 51 to 60 of about 1,644 (170)

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

DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK

Tạp chí Khoa học Đại học Đà Lạt, 2020
Botnets are increasingly becoming the most dangerous threats in the field of network security, and many different approaches to detecting attacks from botnets have been studied.
Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương   +2 more
doaj   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +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

Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior, Thales Guimaraes Marques, Wendley Souza da Silva, Joaquim Celestino Junior   +3 more
wiley   +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

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

Research on C＆C traffic detection of DDoS BotNet in internet of things

Dianxin kexue, 2019
C＆amp;C communication detection used in IoT DDoS BotNet is an important part to identify DDoS BotNet.By analyzing C＆amp;C communication traffic in the BotNet,the characteristics of the smaller C＆amp;C communication data packet and the periodicity of DNS ...
Yusheng HE
doaj   +2 more sources

A novel mathematical model on Peer-to-Peer botnet

Journal of Measurement Science and Instrumentation, 2014
Peer-to-Peer（P2P） botnet has emerged as one of the most serious threats to Internet security. To effectively eliminate P2 P botnet,a delayed SEIR model is proposed,which can portray the formation process of P2 P botnet.
REN Wei, SONG Li-peng, FENG Li-ping
doaj