Program Behavior Analysis and Clustering using Performance Counters

Author:

Kadiyala  Sai  Praveen 1,Kartheek Akella 2,Truong-Huu  Tram 1

Affiliation:

1. A*STAR, Singapore

2. BITS Pilani, India

Funder

InstitutInstitute for Infocomm Research

Publisher

ACM

Reference16 articles.

1. S. Basu , A. Banerjee , and R. J. Mooney . 2002. Semi-supervised Clustering by Seeding . In Proc. ICML 2002 . PRML, Sydney, Australia, 27–34. S. Basu, A. Banerjee, and R. J. Mooney. 2002. Semi-supervised Clustering by Seeding. In Proc. ICML 2002. PRML, Sydney, Australia, 27–34.

2. Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware

3. SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security

4. Sai Manoj Pudukotai Dinakarrao , Sairaj Amberkar , Sahil Bhat , Abhijitt Dhavlle , Hossein Sayadi , Avesta Sasan , Houman Homayoun , and Setareh Rafatirad . 2019 . Adversarial attack on microarchitectural events based malware detectors . In Proc. 2009 56th Annual Design Automation Conference. IEEE , San Franscisco, USA, 1–6. Sai Manoj Pudukotai Dinakarrao, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad. 2019. Adversarial attack on microarchitectural events based malware detectors. In Proc. 2009 56th Annual Design Automation Conference. IEEE, San Franscisco, USA, 1–6.

5. Cyclone

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1. Ransomware Classification Using Hardware Performance Counters on a Non-Virtualized System;IEEE Access;2024

2. PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

3. A Novel Feature Vector for AI-Assisted Windows Malware Detection;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

4. Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning;Applied Cryptography and Network Security;2023

5. Harnessing performance counters to detect malware using deep learning models;SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL;2022-12-31

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