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Filters: Author is Vehabovic, Aldin  [Clear All Filters]
2023-03-17
Vehabovic, Aldin, Ghani, Nasir, Bou-Harb, Elias, Crichigno, Jorge, Yayimli, Aysegül.  2022.  Ransomware Detection and Classification Strategies. 2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). :316–324.
Ransomware uses encryption methods to make data inaccessible to legitimate users. To date a wide range of ransomware families have been developed and deployed, causing immense damage to governments, corporations, and private users. As these cyberthreats multiply, researchers have proposed a range of ransom ware detection and classification schemes. Most of these methods use advanced machine learning techniques to process and analyze real-world ransomware binaries and action sequences. Hence this paper presents a survey of this critical space and classifies existing solutions into several categories, i.e., including network-based, host-based, forensic characterization, and authorship attribution. Key facilities and tools for ransomware analysis are also presented along with open challenges.