Results 41 to 50 of about 2,945,918 (205)
Majority Voting Approach to Ransomware Detection
CoRR, 2023 17 ...
Simon R. Davies +2 more
openaire +2 more sources
Elastic Shifts: I/O Sequence Patterns of Ransomware and Detection Evasion
IEEE AccessCyber-criminals frequently use crypto-ransomware to gain financial benefit by encrypting victims’ valuable digital assets, such as photos and documents.
Il Hyeon Ju, Huy Kang Kim
doaj +1 more source
ARS： research on proactive defense technology of ransomware based on file behavior
四川大学学报. 自然科学版, 2021 In order to reduce the loss caused by the attack of ransomware, this paper proposed a framework (AntiRansomware System, ARS) based on the family characteristics and the traditional malicious code detection technology.
TIAN Feng +3 more
doaj
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
Leveraging machine learning techniques for windows ransomware network traffic detection
, 2018 Ransomware has become a significant global threat with the ransomware-as-a-service model enabling easy availability and deployment, and the potential for high revenues creating a viable criminal business model.
Baldwin, James +2 more
core +6 more sources
A proposed Adaptive Pre-Encryption Crypto-Ransomware Early Detection Model [PDF]
, 2021 Crypto-ransomware is a malware that uses the system's cryptography functions to encrypt user data. The irreversible effect of crypto-ransomware makes it challenging to survive the attack compared to other malware categories.
Bander Ali Saleh Al-rimy +5 more
core +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 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
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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