Results 61 to 70 of about 958 (168)

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

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

P2P Botnet Detection Based on Nodes Correlation by the Mahalanobis Distance

Information, 2019
Botnets are a common and serious threat to the Internet. The search for the infected nodes of a P2P botnet is affected by the number of commonly connected nodes, with a lower detection accuracy rate for cases with fewer commonly connected nodes. However,
Zhixian Yang, Buhong Wang
doaj   +1 more source

Class Incremental Deep Learning: A Computational Scheme to Avoid Catastrophic Forgetting in Domain Generation Algorithm Multiclass Classification

Applied Sciences
Domain Generation Algorithms (DGAs) are algorithms present in most malware used by botnets and advanced persistent threats. These algorithms dynamically generate domain names to maintain and obfuscate communication between the infected device and the ...
João Rafael Gregório, Adriano Mauro Cansian, Leandro Alves Neves   +2 more
doaj   +1 more source

Modeling and Analysis of Peer-to-Peer Botnets

Discrete Dynamics in Nature and Society, 2012
Peer-to-Peer (P2P) botnets have emerged as one of the most serious threats to Internet security. To effectively eliminate P2P botnets, in this paper, the authors present two novel dynamical models to portray the process of formation of P2P botnets, one ...
Liping Feng, Xiaofeng Liao, Qi Han, Lipeng Song   +3 more
doaj   +1 more source

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices

Sensors, 2019
Internet of Things (IoT) devices have become increasingly widespread. Despite their potential of improving multiple application domains, these devices have poor security, which can be explored by attackers to build large-scale botnets.
Vitor Hugo Bezerra, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão   +4 more
doaj   +1 more source

Improving IoT Botnet Investigation Using an Adaptive Network Layer

Sensors, 2019
IoT botnets have been used to launch Distributed Denial-of-Service (DDoS) attacks affecting the Internet infrastructure. To protect the Internet from such threats and improve security mechanisms, it is critical to understand the botnets’ intents ...
João Marcelo Ceron, Klaus Steding-Jessen, Cristine Hoepers, Lisandro Zambenedetti Granville, Cíntia Borges Margi   +4 more
doaj   +1 more source

HF-Blocker: Detection of Distributed Denial of Service Attacks Based On Botnets [PDF]

Journal of Advances in Computer Engineering and Technology, 2015
—Today, botnets have become a serious threat to enterprise networks. By creation of network of bots, they launch several attacks, distributed denial of service attacks (DDoS) on networks is a sample of such attacks.
Bita Amirshahi, Ali Ahangari
doaj  

Detecting Active Bot Networks Based on DNS Traffic Analysis [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
—One of the serious threats to cyberspace is the Bot networks or Botnets. Bots are malicious software that acts as a network and allows hackers to remotely manage and control infected computer victims.
Zahra Nafarieh, Ebrahim Mahdipur, Haj Hamid Haj Seyed Javadi   +2 more
doaj