Results 61 to 70 of about 2,768,658 (208)
AI-Powered Ransomware Detection Framework
, 2020 Ransomware attacks are taking advantage of the ongoing pandemics and attacking the vulnerable systems in business, health sector, education, insurance, bank, and government sectors.
Dasgupta, Dipankar +3 more
core +1 more source
Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems
IEEE Access, 2019 With the advent of big data and cloud services, user data has become an important issue. Although a variety of detection and prevention technologies are used to protect user data, ransomware that demands money in exchange for one's data has emerged.
Kyungroul Lee +2 more
doaj +1 more source
Regulation &Governance, EarlyView.ABSTRACT This article argues that if the aspiration is to enhance regulatory and governance responses to white‐collar and corporate crimes, consideration of the organization of these offending behaviors must be central to the scholarly, practice, and policy discussion.
Nicholas Lord, Michael Levi
wiley +1 more source
AI &Innovation, Volume 1, Issue 2, September 2026.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
SECURITY 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 Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...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
Information 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
A Comparative Assessment of Obfuscated Ransomware Detection Methods [PDF]
Informatică economică, 2019 Ransomware represents a class of malicious applications that encrypts the files of infected system and demands from victims a payment in cryptocurrency in order to receive the decryption key.
Sergiu SECHEL
doaj +1 more source
Energy 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
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
Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning
Discover ComputingRansomware attacks represent a more potent and upcoming cybersecurity threat and traditional detection strategies have been ineffective against new and polymorphic ransomware variants.
Suneeta Satpathy, Pratik Kumar Swain
doaj +1 more source