Results 61 to 70 of about 2,253 (172)

Lightweight Multilayer IoT Attack Detection: An Evaluation of the Semi‐Automated Intrusion Detection System (SAIDS) Framework on Simulated and Real‐World Traffic

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 5, September/October 2026.
ABSTRACT The rapid growth of the Internet of Things (IoT) creates concern around multilayer cyber‐attacks that exploit interactions between physical, network, and application layers. Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...
Badeea Al Sukhni   +4 more
wiley   +1 more source

Resilient IT: Winning With People and Process

open access: yesInformation Systems Journal, Volume 36, Issue 5, Page 771-786, September 2026.
ABSTRACT In today's dynamic environment, IT organisations face numerous challenges from disruptions such as natural disasters, cybersecurity threats, international conflicts, evolving regulations, pandemics and recent global incidents such as the CrowdStrike outage.
Wesam Helou   +2 more
wiley   +1 more source

Open Repository for the Evaluation of Ransomware Detection Tools

open access: yesIEEE Access, 2020
Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for ransom to recover the hijacked documents. Several articles have presented detection techniques for this type of malware; these techniques are applied
Eduardo Berrueta   +3 more
doaj   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3948-3973, August 2026.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali   +6 more
wiley   +1 more source

Cybersecurity in aquaculture: Risks, governance, and future directions across production systems

open access: yesJournal 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

Ransomware Modeling Based on a Process Mining Approach

open access: yesInternational Journal of Information and Communication Technology Research, 2022
Ransomware attacks are taking advantage of the ongoing coronavirus pandemics and attacking the vulnerable systems in the health sector. Modeling ransomware attacks help to identify and simulate attacks against security environments, using likely ...
Ebrahim Mahdipour   +2 more
doaj  

Safeguarding the healthcare sector from ransomware attacks: insights from a literature review [PDF]

open access: yesPeerJ Computer Science
Cybersecurity integrates a broad spectrum of concerns, addressing numerous cyber threats and malicious factors that pose significant risks to the system’s integrity and functionality.
Amna Shahzadi   +7 more
doaj   +2 more sources

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

open access: yesEngineering 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

Graph–Time IoT IDS: Requirement‐Aligned Impact Evaluation

open access: yesEngineering 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

AI-assisted ransomware:operating principles and defense methods

open access: yes物联网学报
With the rapid development of the digital economy, cybersecurity risks have become increasingly severe. According to relevant reports, ransomware has emerged as one of the most destructive threats in cyberspace.
Li Yeshen   +5 more
doaj   +2 more sources

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