Results 41 to 50 of about 4,058 (202)
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
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
Recognizing P2P Botnets Characteristic Through TCP Distinctive Behaviour [PDF]
, 2011 Botnet has been identified as one of the most emerging threats to the Internet users. It has been attracted much attention and gives a big threat in network security.
Mas'ud, Mohd Zaki +8 more
core
Enhancing Botnet Detection in Network Security Using Profile Hidden Markov Models
Applied SciencesA botnet is a network of compromised computer systems, or bots, remotely controlled by an attacker through bot controllers. This covert network poses a threat through large-scale cyber attacks, including phishing, distributed denial of service (DDoS ...
Rucha Mannikar, Fabio Di Troia
doaj +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
New P2P botnets classification and detection framework [PDF]
, 2016 Botnets is a tool for high-profile cyber-attack. It is a collection of compromised computer infected with advance malware that allows an attacker to remotely control them.
Abdullah, Raihana Syahirah
core +1 more source
EURASIP Journal on Information SecurityThe orientation of emerging technologies on the Internet is moving toward decentralisation. Botnets have always been one of the biggest threats to Internet security, and botmasters have adopted the robust concept of decentralisation to develop and ...
Arkan Hammoodi Hasan Kabla +4 more
doaj +1 more source
Analysis and Characterization of IoT Malware Command and Control Communication
Telfor Journal, 2020 The emergence of Mirai botnet in 2016 took worldwide research teams by surprise, proving that a large number of low-performance IoT devices could be hacked and used for illegal purposes, causing extremely voluminous DDoS attacks.
Đ. D. Jovanović, P. V. Vuletić
doaj +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
La régulation du cybercrime comme alternative à la judiciarisation : le cas des botnets
Criminologie, 2014 Les botnets, ou réseaux d’ordinateurs compromis par des pirates informatiques, représentent à l’heure actuelle la menace criminelle la plus sérieuse, servant de support à la fraude bancaire, aux attaques distribuées par déni de service (DDoS), ou encore ...
Benoît Dupont
doaj +1 more source