Results 31 to 40 of about 1,644 (170)

SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

PLoS ONE, 2016
Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled
Ahmad Karim, Rosli Salleh, Muhammad Khurram Khan   +2 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Scalability Optimization of Virtualization Based Botnet Emulation Platform

Dianxin kexue, 2013
Botnet emulation,a new technology to investigate Botnet characteristics,gains increasing focus.The practical virtualization based Botnet emulation platform is few and lacks support of rapid deployment,multiple virtualization,specific features of the ...
Li Ruan, Bo Lin, Limin Xiao
doaj   +2 more sources

Botnet Detection Approach Using Graph-Based Machine Learning

IEEE Access, 2021
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features.
Afnan Alharbi, Khalid Alsubhi
doaj   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +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

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 Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

Engineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa, Ahmad Taher Azar, Walid El‐Shafai   +2 more
wiley   +1 more source

Graph–Time IoT IDS: Requirement‐Aligned Impact Evaluation

Engineering Reports, Volume 8, Issue 7, July 2026.
A multi‐view intrusion detection framework (IMPACT‐MVG) combines temporal behavior modeling and graph‐based interaction analysis to detect IoT network attacks. Impact‐centric evaluation using the ICSec score shows that the approach reduces operational damage from intrusions while maintaining efficient, explainable, and privacy‐aware security monitoring.
Kumkum Dubey, Isha Batra, Abhishek Bajpai, Arun Malik, Mohammed Ali Alshara, Tariqullah Jan, Naveed Ahmad, Ruhul Amin Khalil   +7 more
wiley   +1 more source

GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed, M. Siraj Rathore, Azhar Mahmood, Muhammad Daniyal, Md Asri Ngadi   +4 more
wiley   +1 more source