Automated Supervised Topic Modeling Framework for Hardware Weaknesses-Reference-Cited by-同舟云学术

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Automated Supervised Topic Modeling Framework for Hardware Weaknesses

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Symposium on Quality Electronic Design (ISQED)
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Author:

Hassan Rakibul¹,Bandi Charan¹,Tsai Meng-Tien²,Golchin Shahriar³,P D Sai Manoj¹,Rafatirad Setareh⁴,Salehi Soheil³

Affiliation:

1. George Mason University,Department of Electrical and Computer Engineering,Fairfax,VA,22030

2. University of California Davis,Department of Statistics,Davis,CA,95616

3. University of California Davis,Department of Computer Science,Davis,CA,95616

4. The University of Arizona,Department of Electrical and Computer Engineering,Tucson,AZ,85721

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10129281/10129282/10129378.pdf?arnumber=10129378

Reference28 articles.

1. Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks

2. FANDEMIC: Firmware Attack Construction and Deployment on Power Management Integrated Circuit and Impacts on IoT Applications

3. Circuit Topology-Aware Vaccination-Based Hardware Trojan Detection

4. LOCK&ROLL

5. Hardware Designs for Security in Ultra-Low-Power IoT Systems: An Overview and Survey

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning for Intrusion Detection: Stream Classification Guided by Clustering for Sustainable Security in IoT;Proceedings of the Great Lakes Symposium on VLSI 2023;2023-06-05

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