Ransomware Detection and Classification Strategies-Reference-Cited by-同舟云学术

Ransomware Detection and Classification Strategies

Published:2022-06-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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Author:

Vehabovic Aldin¹,Ghani Nasir¹,Bou-Harb Elias²,Crichigno Jorge³,Yayimli Aysegul⁴

Affiliation:

1. Univ. of South Florida

2. Univ. of Texas San Antonio

3. Univ. of South Carolina

4. Valparaiso University

Publisher

IEEE

Link

Reference47 articles.

1. i was told to buy a software or lose my computer. i ignored it”: A study of ransomware;simoiu;SOUPS 2019 Santa Clara CA,2019

3. Raptor: Ransomware attack predictor;quinkert;ArXiv,2018

4. Automatic ransomware detection and analysis based on dynamic api calls flow graph;chen;RACS 2019 Chongqing China,2019

5. Binsim: Trace-based semantic binary diffing via system call sliced segment equivalence checking;ming;Security Symposium 2017 USENIX,2017

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