Results 81 to 90 of about 11,129 (226)
Computational Intelligence, Volume 42, Issue 4, August 2026.ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza +6 more
wiley +1 more source
Behavior Abstraction in Malware Analysis [PDF]
, 2010 We present an approach for proactive malware detection by working on an abstract representation of a program behavior. Our technique consists in abstracting program traces, by rewriting given subtraces into abstract symbols representing their functionality.
Beaucamps, Philippe +2 more
openaire +2 more sources
Cybersecurity in aquaculture: Risks, governance, and future directions across production systems
Journal of the World Aquaculture Society, Volume 57, Issue 4, August 2026.Abstract Aquaculture is becoming increasingly dependent on connected sensors, remote monitoring, edge and cloud analytics, automation, and digital traceability; however, the cybersecurity evidence base remains fragmented and low‐trophic systems are markedly underrepresented.
Indrek Adler +3 more
wiley +1 more source
Deep Belief Networks-based framework for malware detection in Android systems
Alexandria Engineering Journal, 2018 Malware is the umbrella term that denotes attacking any system by malicious software. During the last few years, the popularity of Android smartphones led to the sneak of several malware applications into different Android markets without any difficulty.
Dina Saif, S.M. El-Gokhy, E. Sallam
doaj +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
Reverse Engineering untuk Analisis Malware Remote Access Trojan
JEPIN (Jurnal Edukasi dan Penelitian Informatika), 2019 Para hacker menggunakan malware Remote Access Trojan untuk merusak sistem kemudian mencuri data para korbannya. Diperlukan analisis mendalam mengenai malware baru-baru ini karena malware dapat berkamuflase seperti sistem tidak dicurigai.
Tesa Pajar Setia +2 more
doaj +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.We propose the Powerful‐but‐Limited Generative AI theorem, demonstrating that embedding human‐inspired constraints, such as fixed utility functions and neuro‐symbolic submission layers, ensures generative AI remains controllable by preventing self‐improvement beyond designer intent.
Saeed Banaeian Far +3 more
wiley +1 more source
A Novel Approach to Detect Malware Based on API Call Sequence Analysis
International Journal of Distributed Sensor Networks, 2015 In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle between ever-evolving malware and antivirus programs that need to process ever-increasing security related data. For malware detection, various approaches
Youngjoon Ki, Eunjin Kim, Huy Kang Kim
doaj +1 more source
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