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Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Z. He, H. Makrani, S. Rafatirad, H. Homayoun, and H. Sayadi. ICCD, page 231-238. IEEE, (2022)

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Karim Sayadi

Fawzi Sayadi

Afef Sayadi

Hossein Karbasian

Hossein Gholaman

Other publications of authors with the same name

Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks.H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, T. Mohsenin, and H. Homayoun. ACM Great Lakes Symposium on VLSI, page 181-186. ACM, (2020)Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks.H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun. ICCAD, page 36:1-36:9. IEEE, (2020)Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey.H. Sayadi, Z. He, H. Makrani, and H. Homayoun. ISQED, page 1-10. IEEE, (2024)Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems.H. Sayadi, Z. He, T. Miari, and M. Aliasgari. ISCAS, page 1-5. IEEE, (2024)Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method.Z. He, and H. Sayadi. ISQED, page 1-8. IEEE, (2023)A Comprehensive Analysis of Chaos-Based Secure Systems.A. Hedayatipour, R. Monani, A. Rezaei, M. Aliasgari, and H. Sayadi. SVCC, volume 1536 of Communications in Computer and Information Science, page 90-105. Springer, (2021)StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.H. Sayadi, Y. Gao, H. Makrani, T. Mohsenin, A. Sasan, S. Rafatirad, J. Lin, and H. Homayoun. ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2020)Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud.H. Makrani, H. Sayadi, N. Nazari, K. Khasawneh, A. Sasan, S. Rafatirad, and H. Homayoun. SEED, page 1-13. IEEE, (2021)HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks.H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun. ICMLA, page 604-611. IEEE, (2020)Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education.W. Chung, X. Zhang, Z. Ahmad, H. Sayadi, and S. Rafatirad. EDUCON, page 1254-1263. IEEE, (2022)

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Disambiguation of "Sayadi, Hossein"

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Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Please choose a person to relate this publication to

Karim Sayadi

Fawzi Sayadi

Afef Sayadi

Hossein Karbasian

Hossein Gholaman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sayadi, Hossein"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Please choose a person to relate this publication to

Karim Sayadi

Fawzi Sayadi

Afef Sayadi

Hossein Karbasian

Hossein Gholaman

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.