Ransomware prevention using moving target defense based approach-Reference-Cited by-同舟云学术

Ransomware prevention using moving target defense based approach

Published:2022-12-27 Issue:7 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Khan Muhammad Mubashir¹,Hyder Muhammad Faraz²^ORCID,Khan Shariq Mahmood¹,Arshad Junaid³^ORCID,Khan Muhammad M.¹^ORCID

Affiliation:

1. Department of Computer Science and Information Technology NED University of Engineering and Technology Karachi Pakistan

2. National Center for Cyber Security, Department of Software Engineering NED University of Engineering and Technology Karachi Pakistan

3. School of Computing and Digital Technology Birmingham City University Birmingham UK

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7592

Reference24 articles.

1. AlamM SinhaS BhattacharyaS DuttaS MukhopadhyayD ChattopadhyayA.Rapper: Ransomware prevention via performance counters. arXiv preprint arXiv:01712 2020.

2. Classification of ransomware families with machine learning based onN-gram of opcodes

3. Attacking Key Management in Ransomware

4. Internet of things and ransomware: Evolution, mitigation and prevention

5. A Three‐Level Ransomware Detection and Prevention Mechanism;Ren ALY;EAI Endorsed Trans Energy Web,2020

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1. Windows Forensic Analysis and Detection of Ransomware Attacks Using Event Logs and Tools;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Cost-Effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems;Lecture Notes in Computer Science;2024

3. AdamW+: Machine Learning Framework to Detect Domain Generation Algorithms for Malware;IEEE Access;2024

4. Hiding in the Crowd: Ransomware Protection by Adopting Camouflage and Hiding Strategy With the Link File;IEEE Access;2023