Results 51 to 60 of about 2,699 (152)

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, Jonne Kotta, Kristel Vene, Ricardo Gregorio Lugo   +3 more
wiley   +1 more source

Hybrid CNN and Autoencoder Deep Learning Model for Network Malware Detection

Sistemasi: Jurnal Sistem Informasi
Malware remains one of the primary threats to network security, continuously evolving with increasingly complex attack patterns that are difficult to detect using conventional methods.
Mayra Anggraini, Rama Aria Megantara
doaj   +1 more source

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

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, Ahmad Taher Azar, Walid El‐Shafai   +2 more
wiley   +1 more source

Android Kötücül Yazılım Tespit Sistemleri İncelemesi

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2017
Akıllı telefonların hayatımıza girmesiyle birlikte akıllı telefonları kullanan kullanıcı sayısı her geçen gün artarak devam etmektedir. Akıllı telefonların fazla talep görmesindeki neden, insanların bir cihazla istedikleri işleri tek dokunuşla kolaylıkla
Ömer KİRAZ, İbrahim Alper DOĞRU
doaj   +4 more sources

Harnessing Generative AI Within Human‐Aligned Constraints: Exploring Control Strategies and Existential Considerations

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, Mohammad Reza Chalak Qazani, Falah Younis Hamode Hamod, Azadeh Imani Rad   +3 more
wiley   +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, Isha Batra, Abhishek Bajpai, Arun Malik, Mohammed Ali Alshara, Tariqullah Jan, Naveed Ahmad, Ruhul Amin Khalil   +7 more
wiley   +1 more source

Malware Evasion Attacks Against IoT and Other Devices: An Empirical Study

Tsinghua Science and Technology
The Internet of Things (IoT) has grown rapidly due to artificial intelligence driven edge computing. While enabling many new functions, edge computing devices expand the vulnerability surface and have become the target of malware attacks.
Yan Xu, Deqiang Li, Qianmu Li, Shouhuai Xu   +3 more
doaj   +1 more source

Android Malware Detection Systems Review

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2017
With the smartphones entering our lives, the number of smartphones continues to increase day by day. The reason why smartphones are in so demand is that people can easily do what they want.
Ömer Kiraz, İbrahim Alper Doğru
doaj  

A Holistic Intelligent Cryptojacking Malware Detection System

IEEE Access
Recent statistics indicate a continuous rise in cryptojacking malware. This malware covertly exploits users’ device resources to mine cryptocurrencies, such as Bitcoin, without their knowledge or consent.
Hadeel A. Almurshid, Iman Almomani, M. A. Khalifa, Walid El-Shafai   +3 more
doaj   +1 more source

Embedding-Driven Synthetic Malware Generation with Autoencoders and Cluster-Tangent Diffusion

Applied Sciences
Malware has become increasingly sophisticated over the years, with zero-day attacks emerging at an alarming pace. Effective detection and analysis demand real malware samples, which are expensive and skill-dependent to extract.
Gunnika Kapoor, Sathvika Nadipalli, Fabio Di Troia   +2 more
doaj   +1 more source