April 11, 2023, 1:10 a.m. | Aldin Vehabovic, Nasir Ghani, Elias Bou-Harb, Jorge Crichigno, Aysegul Yayimli

cs.CR updates on arXiv.org arxiv.org

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
ransomware 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 …

action advanced attribution classification corporations critical cyberthreats data detection encryption forensic host machine machine learning network private process ransomware ransomware detection researchers solutions space survey techniques world

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