Results 11 to 20 of about 2,335 (206)
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
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Ransomware early detection: A survey
Computer NetworksIn recent years, ransomware attacks have exploded globally, and it has become one of the most significant cyber threats to digital infrastructure. Such attacks have been targeting ranging from individuals to critical infrastructure or large organizations
Mingcan Cen +2 more
exaly +3 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
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Ransomware Detection and Classification Strategies
2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2022 9 pages, 2 ...
Aldin Vehabovic +4 more
openaire +3 more sources
Behaviour Based Ransomware Detection [PDF]
EPiC Series in Computing, 2019 Ransomware is an ever-increasing threat in the world of cyber security targeting vulnerable users and companies, but what is lacking is an easier way to group, and devise practical and easy solutions which every day users can utilise.In this paper we look at the different characteristics of ransomware, and present preventative techniques to tackle ...
Christopher Jun-Wen Chew +1 more
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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
Cryptographic ransomware encryption detection: Survey [PDF]
Computers & Security, 2023 The ransomware threat has loomed over our digital life since 1989. Criminals use this type of cyber attack to lock or encrypt victims' data, often coercing them to pay exorbitant amounts in ransom. The damage ransomware causes ranges from monetary losses paid for ransom at best to endangering human lives.
Kenan Begovic +2 more
openaire +5 more sources
AI-Based Ransomware Detection: A Comprehensive Review
IEEE AccessRansomware attacks are becoming increasingly sophisticated, thereby rendering conventional detection methods less effective. Recognizing this challenge, this study reviews advanced detection mechanisms and explores the potential of artificial ...
Jannatul Ferdous +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
Blockchain security for ransomware detection
CoRRThis manuscript was submitted to the journal TELKOMNIKA (https://www.scopus.com/sourceid/21100256101). Title: "Interpretable machine learning for ransomware detection". Status: Under review. Dataset and code available at Mike Nkongolo Wa Nkongolo (2023). UGRansome dataset. Kaggle. https://www.kaggle.com/dsv/7172543 [Accessed 23 July 2024].
Elodie Ngoie Mutombo, Mike Wa Nkongolo
openaire +3 more sources