A Method for Neutralizing Entropy Measurement-Based Ransomware Detection Technologies Using Encoding Algorithms [PDF]
Entropy, 2022 Ransomware consists of malicious codes that restrict users from accessing their own files while demanding a ransom payment. Since the advent of ransomware, new and variant ransomwares have caused critical damage around the world, thus prompting the study
Jaehyuk Lee, Kyungroul Lee
doaj +2 more sources
E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches [PDF]
Sensors, 2023 Nowadays, ransomware is considered one of the most critical cyber-malware categories. In recent years various malware detection and classification approaches have been proposed to analyze and explore malicious software precisely.
Iman Almomani +2 more
doaj +2 more sources
Ransomware Detection Using Machine Learning: A Survey
Big Data and Cognitive Computing, 2023 Ransomware attacks pose significant security threats to personal and corporate data and information. The owners of computer-based resources suffer from verification and privacy violations, monetary losses, and reputational damage due to successful ...
Amjad Alraizza, Abdulmohsen Algarni
doaj +3 more sources
A Machine Learning-Based Ransomware Detection Method for Attackers’ Neutralization Techniques Using Format-Preserving Encryption [PDF]
SensorsRansomware, a type of malware that first appeared in 1989, encrypts user files and demands money for decryption, causing increasing global damage. To reduce the impact of ransomware, various file-based detection technologies are being developed; however,
Jaehyuk Lee +3 more
doaj +2 more sources
Neutralization Method of Ransomware Detection Technology Using Format Preserving Encryption [PDF]
Sensors, 2023 Ransomware is one type of malware that involves restricting access to files by encrypting files stored on the victim’s system and demanding money in return for file recovery.
Jaehyuk Lee +3 more
doaj +2 more sources
A Survey of Ransomware Detection Methods
IEEE AccessRansomware attacks continue to pose a significant challenge to cybersecurity, causing substantial financial and reputational damage to individuals and organizations. These attacks typically encrypt user data and demand a ransom for its release.
Saleh Alzahrani +4 more
doaj +2 more sources
A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook
Sensors, 2022 Recently, ransomware attacks have been among the major threats that target a wide range of Internet and mobile users throughout the world, especially critical cyber physical systems.
Abdullah Alqahtani, Frederick T. Sheldon
doaj +3 more sources
Early detection of crypto-ransomware using pre-encryption detection algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 Crypto ransomware is a type of malware that locks its victim’s file for ransom using an encryption algorithm. Its popularity has risen at an alarming rate among the cyber security community due to several successful worldwide attacks.
S.H. Kok, Azween Abdullah, NZ Jhanjhi
doaj +3 more sources
A Survey on Detection Techniques for Cryptographic Ransomware
IEEE Access, 2019 Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for a ransom to recover the hijacked documents. It is a cyber threat that targets both companies and residential users, and has spread in recent years ...
Eduardo Berrueta +3 more
doaj +4 more sources
Prevention of Crypto-Ransomware Using a Pre-Encryption Detection Algorithm
Computers, 2019 Ransomware is a relatively new type of intrusion attack, and is made with the objective of extorting a ransom from its victim. There are several types of ransomware attacks, but the present paper focuses only upon the crypto-ransomware, because it makes ...
S. H. Kok +3 more
doaj +3 more sources