Results 31 to 40 of about 1,396 (174)
International Journal of Advanced Research in Science, Communication and Technology, 2022 Android, being the most widespread mobile operating systems is increasingly becoming a target for malware. Malicious apps designed to turn mobile devices into bots that may form part of a larger botnet have become quite common, thus posing a serious threat. This calls for more effective methods to detect botnets on the Android platform.
null Prof. (Mrs) Mayuri Khade +4 more
openaire +1 more source
A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
Future Internet, 2021 Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things.
Simon Nam Thanh Vu +4 more
doaj +1 more source
BOTNET DETECTION USING INDEPENDENT COMPONENT ANALYSIS
International Islamic University Malaysia Engineering Journal, 2022 Botnet is a significant cyber threat that continues to evolve. Botmasters continue to improve the security framework strategy for botnets to go undetected.
Wan Nurhidayah Ibrahim +3 more
doaj +1 more source
Botnet Identification Technology Based on Fuzzy Clustering [PDF]
Jisuanji gongcheng, 2018 A Botnet that combining worms,backdoors,and Trojans has become the backing of Advanced Persistent Threat(APT) attacks because it can be used by attackers to send spam,perform denial of service attacks,and steal sensitive information.Existing Botnet ...
CHEN Ruidong,ZHAO Lingyuan,ZHANG Xiaosong
doaj +1 more source
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 +4 more
wiley +1 more source
Modular neural network for edge-based detection of early-stage IoT botnet
High-Confidence ComputingThe Internet of Things (IoT) has led to rapid growth in smart cities. However, IoT botnet-based attacks against smart city systems are becoming more prevalent.
Duaa Alqattan +5 more
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 +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 +7 more
wiley +1 more source
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
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