Results 71 to 80 of about 6,055 (181)
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
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
DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis
Applied Sciences, 2020 Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su +5 more
doaj +1 more source
MalSSL—Self-Supervised Learning for Accurate and Label-Efficient Malware Classification
IEEE AccessMalware classification with supervised learning requires a large dataset, which needs an expensive and time-consuming labeling process. In this paper, we explore the efficacy of self-supervised learning techniques for malware classification.
Setia Juli Irzal Ismail +4 more
doaj +1 more source
A Data Mining Classification Approach for Behavioral Malware Detection
Journal of Computer Networks and Communications, 2016 Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior.
Monire Norouzi +2 more
doaj +1 more source
Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022 Robert Choudhury +2 more
openaire +1 more source
CSMC: A Secure and Efficient Visualized Malware Classification Method Inspired by Compressed Sensing
SensorsWith the rapid development of the Internet of Things (IoT), the sophistication and intelligence of sensors are continually evolving, playing increasingly important roles in smart homes, industrial automation, and remote healthcare.
Wei Wu +3 more
doaj +1 more source
HoneyBow:an automated malware collection tool based on the high-interaction honeypot principle
Tongxin xuebao, 2007 Malware has become one of the severest threats to the public Internet.To deal with the malware breakout ef-fectively as early as possible,an automated malware collection solution must be implemented as a precondition.An automated malware collection tool ...
ZHUGE Jian-wei1 +5 more
doaj +2 more sources
The Malware as a Service Ecosystem
The goal of this chapter is to illuminate the operational frameworks, key actors, and significant cybersecurity implications of the Malware as a Service (MaaS) ecosystem. Highlighting the transformation of malware proliferation into a service-oriented model, the chapter discusses how MaaS democratises access to sophisticated cyberattack capabilities ...
Patsakis, Constantinos +2 more
openaire +2 more sources
Homology analysis of malware based on graph
Tongxin xuebao, 2017 Malware detection and homology analysis has been the hotspot of malware analysis.API call graph of malware can represent the behavior of it.Because of the subgraph isomorphism algorithm has high complexity,the analysis of malware based on the graph ...
Bing-lin ZHAO +4 more
doaj +2 more sources