Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

Author:

Sadek IbrahimORCID,Chong Penny,Rehman Shafiq Ul,Elovici Yuval,Binder Alexander

Funder

ST Electronics

National Research Foundation

NRF

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference9 articles.

1. Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining;Nissim;Knowl. Based Syst.,2018

2. VirtualBox;Oracle,2019

3. Penetration Testing Software, Penetration Testing Technology;Metasploit,2019

4. AV Evasion Artware;Shellter,2018

5. Veil-Framework, Veil-Evasion,2017

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1. ProcGCN: detecting malicious process in memory based on DGCNN;PeerJ Computer Science;2024-08-07

2. An Exploration of shared code execution for malware analysis;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

3. Machine Learning Based Obfuscated Malware Detection in the Cloud Environment with Nature-Inspired Feature Selection;2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT);2022-11-26

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