publications

2023

1. PhD thesis: Leveraging side-channel signals for IoT malware classification and rootkit detection

   Pham, Duy-Phuc

   INRIA IRISA CNRS Rennes France 2023

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2022

1. ULTRA: Ultimate Rootkit Detection over the Air

   Pham, Duy-Phuc, Marion, Damien, and Heuser, Annelie

   In 25th International Symposium on Research in Attacks, Intrusions and Defenses 2022

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   Rootkits are the most challenging malware threats against server and desktop systems. They are created by highly skilled actors and are deployed in advanced persistent threat attacks. Lately and even in the future, rootkits will become a real threat to billions of IoT devices. Existing malware detection techniques based on static or dynamic analysis face major shortcomings, which become more apparent when it is necessary to detect threats on IoT devices. In this paper, we propose the ULTRA framework, which can detect rootkits effectively and efficiently by operating outside of the “box” (literary device) with no resource requirement on the target device. ULTRA baits the rootkit to provoke activity, measures electromagnetic emanation with a software-defined radio, preprocesses signals, then detects and classifies rootkit behavior using machine/deep learning techniques. As use cases, we target two IoT devices with MIPS and ARM architectures. The proposed approach achieved promising results with high accuracy for detecting both known and unknown rootkits during the offline learning phase. Our experimental study involves classification of rootkit families and distinct variants, obfuscated rootkits, probe dislocation, benign noise (kernel) activities, and comparison with software-based solutions.

2021

1. Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification

   Pham, Duy-Phuc, Marion, Damien, Mastio, Mathieu, and Heuser, Annelie

   In Annual Computer Security Applications Conference 2021

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2. Poster: Obfuscation Revealed-Using Electromagnetic Emanation to Identify and Classify Malware

   Pham, Duy-Phuc, Marion, Damien, and Heuser, Annelie

   In 2021 IEEE European Symposium on Security and Privacy (EuroS&P) 2021

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2019

1. GuruWS: A Hybrid Platform for Detecting Malicious Web Shells and Web Application Vulnerabilities

   Le, Van-Giap, Nguyen, Huu-Tung, Pham, Duy-Phuc, Phung, Van-On, and Nguyen, Ngoc-Hoa

   Trans. Comput. Collect. Intell. 2019

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2. Mac-A-Mal: macOS malware analysis framework resistant to anti evasion techniques

   Pham, Duy-Phuc, Vu, Duc Ly, and Massacci, Fabio

   J. Comput. Virol. Hacking Tech. 2019

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2018

1. Mac-A-Mal: An Automated Platform For Mac Malware Hunting

   Pham, Duy-Phuc, and Massacci, Fabio

   Black Hat Asia 2018

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2017

1. New version of mobile malware Catelites possibly linked to Cron cyber gang

   Chrysaidos, Nikolaos, and Pham, Duy-Phuc

   Avast Blog 2017

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2. Lokibot - The First Hybrid Android Malware

   Gahr, Wesley, Pham, Duy-Phuc, and Croese, Niels

   ThreatFabric 2017

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3. What is SafeFinder/OperatorMac campaign?

   Pham, Duy-Phuc

   BabyPhD 2017

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4. Exobot - Android Banking Trojan On The Rise

   Pham, Duy-Phuc, Croese, Niels, and Sahin, Han

   SfyLabs 2017

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2014

1. Research and Implement Multifunctional Robot Using Omnidirectional Wheels

   Pham, Duy-Phuc, Son, Nguyen Canh, and Mai, Nguyen Thi Phuong

   Proceedings of the 15th International Symposium on Eco-materials Processing and Design 2014