Results 71 to 80 of about 465,682 (204)
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 +7 more
wiley +1 more source
Research on visualization-based classification of malicious code
Dianzi Jishu YingyongThe design of new malicious code is becoming increasingly complex, and traditional recognition and detection methods can no longer meet current requirements.
Ding Quan +3 more
doaj +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, Volume 14, Issue 7, Page 3554-3580, July 2026.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Review of Policy Research, Volume 43, Issue 4, July 2026.ABSTRACT The accelerated digitalisation of society has amplified cybersecurity threats and revealed their cross‐sectoral nature. Yet, the policy instruments used to address these challenges remain insufficiently examined. This study conducts a scoping review of 980 academic articles (2007–2024) and applies Hood's NATO framework (Nodality, Authority ...
Benedetta Cotta, Maria Stella Righettini
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
System for Malware Spreading Visualization
, 2022 This bachelor's thesis deals with the design and implementation of a service for processing, storing, and visualization of time-series data, which informs about actual malware threat.
Nosková, Daša
core
Method of anti-confusion texture feature descriptor for malware images
Tongxin xuebao, 2018 It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was ...
Yashu LIU +4 more
doaj +2 more sources
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Information visualization on interactive tabletops in work vs. public settings [PDF]
, 2015 Digital tabletop displays and other large interactive displays have recently become more affordable and commonplace. Due to their benefits for supporting collaborative work—when compared to current desktop-based setups—they will likely be integrated in ...
Hinrichs, Uta +4 more
core +2 more sources
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source