Results 51 to 60 of about 4,058 (202)

Lightweight Multilayer IoT Attack Detection: An Evaluation of the Semi‐Automated Intrusion Detection System (SAIDS) Framework on Simulated and Real‐World Traffic

SECURITY AND PRIVACY, Volume 9, Issue 5, September/October 2026.
ABSTRACT The rapid growth of the Internet of Things (IoT) creates concern around multilayer cyber‐attacks that exploit interactions between physical, network, and application layers. Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...
Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang, M. A. Hannan Bin Azhar   +4 more
wiley   +1 more source

Botnet with Browser Extensions [PDF]

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011
Botnets are responsible for many large scale organized Internet attacks today. Along with the fight between botnet developers and defenders, the battle field has significantly evolved from traditional centralized IRC to various new approaches, aiming to make bots and command and control channel more and more stealthy.
Lei Liu 0021, Xinwen Zhang, Songqing Chen   +2 more
openaire   +2 more sources

Macroscopic Analysis of IoT Botnets [PDF]

, 2022
The adoption of the IoT by modern sociotechnical systems in synergy with the rapid deployment of insecure IoT devices and services has transformed the cyber-threat landscape. Thus, the vast majority of cyberattacks are underpinned by the orchestration of
Almazarqi, Hatem A., Pezaros, Dimitrios, Mursch, Troy, Marnerides, Angelos K., Woodyard, Mathew   +4 more
core   +1 more source

Botnet Identification on Twitter: A Novel Clustering Approach Based on Similarity

IEEE Access
Due to Twitter’s potential reach and influence, malicious automated accounts and services have been operating and growing without control.
Luis Daniel Samper-Escalante, Octavio Loyola-Gonzalez, Raul Monroy, Miguel Angel Medina-Perez   +3 more
doaj   +1 more source

Botnet Defense System: Concept, Design, and Basic Strategy

Information, 2020
This paper proposes a new kind of cyber-security system, named Botnet Defense System (BDS), which defends an Internet of Things (IoT) system against malicious botnets. The concept of BDS is “Fight fire with fire”.
Shingo Yamaguchi
doaj   +1 more source

Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis

Journal of ICT, 2022
With rapid technological progress in the Internet of Things (IoT), it has become imperative to concentrate on its security aspect. This paper represents a model that accounts for the detection of botnets through the use of machine learning algorithms ...
Nazmus Sakib Akash, Shakir Rouf, Sigma Jahan, Amlan Chowdhury, Jia Uddin   +4 more
doaj   +1 more source

Graph‐Based Generative Adversarial Network for Adaptive IoT Intrusion Detection

Engineering Reports, Volume 8, Issue 8, August 2026.
The study introduces a hybrid graph‐based generative adversarial network (G‐GAN) that integrates adversarial learning with graph attention mechanisms to enhance intrusion detection in IoT environments. G‐GAN significantly improves accuracy and adaptability by reducing false alarms and detecting emerging threats in dynamic, heterogeneous IoT networks ...
Meshari H. Alanazi, Aabid A. Mir, Asma A. Alhashmi, Faris Alanazi, Mohammad N. Alanazi, Majid Ali Nawaz, Yahia Said, Abdulbasit A. Darem   +7 more
wiley   +1 more source

Machine Learning White-Hat Worm Launcher for Tactical Response by Zoning in Botnet Defense System

Sensors, 2022
Malicious botnets such as Mirai are a major threat to IoT networks regarding cyber security. The Botnet Defense System (BDS) is a network security system based on the concept of “fight fire with fire”, and it uses white-hat botnets to fight against ...
Xiangnan Pan, Shingo Yamaguchi
doaj   +1 more source

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations

International Journal of Eating Disorders, Volume 59, Issue 7, Page 1451-1468, July 2026.
ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi, Mia L. Pellizzer, Tracey D. Wade   +2 more
wiley   +1 more source

A Framework for Understanding Botnets [PDF]

2009 International Conference on Availability, Reliability and Security, 2009
Botnets have become a severe threat to the cyberspace. However, existing studies are typically conducted in an ad hoc fashion, by demonstrating specific analysis on captured bot programs or bot communication mechanisms so as to suggest means to counter them. Although suchstudies are important, another perhaps even more important problem that is largely
Justin Leonard, Shouhuai Xu, Ravi S. Sandhu   +2 more
openaire   +1 more source