Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification

Author:

Pham Duy-Phuc1,Marion Damien2,Mastio Matthieu2,Heuser Annelie2

Affiliation:

1. Univ Rennes, Inria, CNRS, IRISA, France, France

2. Univ Rennes, Inria, CNRS, IRISA, France

Publisher

ACM

Reference38 articles.

1. [ 1 ] 10 evil user tricks for bypassing anti-virus 2013. https://blog.netspi.com/10-evil-user-tricks-for-bypassing-anti-virus/. [1] 10 evil user tricks for bypassing anti-virus 2013. https://blog.netspi.com/10-evil-user-tricks-for-bypassing-anti-virus/.

2. Detecting crypto-ransomware in IoT networks based on energy consumption footprint;Azmoodeh Amin;Journal of Ambient Intelligence and Humanized Computing,2018

3. Structural entropy and metamorphic malware

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3. TrustGuard: Standalone FPGA-Based Security Monitoring Through Power Side-Channel;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-02

4. Intrusion Detection for IoT Environments Through Side-Channel and Machine Learning Techniques;IEEE Access;2024

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