Results 41 to 50 of about 2,784,569 (167)
P2P Botnet Detection Method Based on Graph Neural Network
工程科学与技术, 2022 P2P botnet has become a new network attack platform because of its high concealment and robustness, which poses an increasing threat to cyberspace security.
Honggang LIN +3 more
doaj
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 +8 more
wiley +1 more source
Base Semantics—A Novel Approach for Minimizing Malware Detection Rules
SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat +5 more
wiley +1 more source
Botnet Behavior Detection using Network Synchronism
, 2011 Botnets’ diversity and dynamism challenge detection and classification algorithms depend heavily on static or protocol-dependant features. Several methods showing promising results were proposed using behavioral-based approaches. The authors conducted an
Zunino Suarez, Alejandro Octavio +2 more
core +1 more source
Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan +4 more
wiley +1 more source
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 Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...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 +4 more
wiley +1 more source
Design of Universal Botnet Experimental Platform [PDF]
Jisuanji gongcheng, 2018 Botnet research in open networks has many drawbacks,such as uncontrollable process,difficult to scale,and unable to repeat experiments.In order to solve this problem,the requirement and design principle of the universal botnet experimental platform with ...
LI Dawei
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 +7 more
wiley +1 more source
An Effective Conversation-Based Botnet Detection Method [PDF]
, 2017 A botnet is one of the most grievous threats to network security since it can evolve into many attacks, such as Denial-of-Service (DoS), spam, and phishing. However, current detection methods are inefficient to identify unknown botnet.
Xiaosong Zhang +4 more
core +1 more source
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 +2 more
wiley +1 more source