Results 41 to 50 of about 2,768,658 (208)
Resilience without AI: Assessing the Viability of Deception-Based Ransomware Detection [PDF]
From the first attack in 1989, to date, it is evident that ransomware is highly destructive. Today the vast majority of research on ransomware detection is focused on the use of AI techniques.
Ghaleb, Baraq +6 more
core +1 more source
RansomFisher: Behavior-based ransomware detection without decoys
ICT ExpressRansomware remains a significant cyber threat for legacy and recent systems. This study revisits behavior-based detection and introduces RansomFisher, a novel decoyless ransomware detection system that monitors file access patterns.
InHoe Ku, Iljun Jeong, Seunghun Han
doaj +1 more source
Detection of Ransomware Attacks Using Processor and Disk Usage Data
IEEE Access, 2023 Ransomware often evades antivirus tools, encrypts files, and renders the target computer and its data unusable. The current approaches to detect such ransomware include monitoring processes, system calls, and file activities on the target system and ...
Kumar Thummapudi +2 more
doaj +1 more source
AI-based Malware and Ransomware Detection Models [PDF]
, 2022 Cybercrime is one of the major digital threats of this century. In particular, ransomware attacks have significantly increased, resulting in global damage costs of tens of billion dollars.
Morucci, Stéphane +2 more
core +1 more source
Retaliation against Ransomware in Cloud-Enabled PureOS System
Mathematics, 2023 Ransomware is malicious software that encrypts data before demanding payment to unlock them. The majority of ransomware variants use nearly identical command and control (C&C) servers but with minor upgrades.
Atef Ibrahim +4 more
doaj +1 more source
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
The Journal of Pathology, EarlyView.Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Ransomware Detection using Process Memory
International Conference on Cyber Warfare and Security, 2022 Ransomware attacks have increased significantly in recent years, causing great destruction and damage to critical systems and business operations. Attackers are unfailingly finding innovative ways to bypass detection mechanisms, which encouraged the adoption of artificial intelligence.
Avinash Singh +2 more
openaire +4 more sources
Ransomware detection based on machine learning models and Event Tracing for Windows
Безопасность информационных технологий, 2022 Nowadays ransomware cyberattacks are alarmingly increasing. Ransomware is a form of malicious software that locks users’ files by modifying it or it’s parts. To get the files back the users are supposed to pay ransom. Ransomware are using different types
Artem O. Kalinkin +3 more
doaj +1 more source
Federated Learning Based Detection of Ransomware [PDF]
, 2023 Ransomware is one of the top threats in the world of cyber security. The ransomwarelandscape is growing in sophistication and maturity. The latest developments in ransomware, such as Ransomware as a service (RaaS), have exacerbated the problem by ...
Teshome, Bereket Getnet
core