Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense-Reference-Cited by-同舟云学术

Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense

Published:2023-11 Issue:6 Volume:20 Page:4853-4867
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Mani Ganapathy¹^ORCID,Haliem Marina¹^ORCID,Bhargava Bharat¹^ORCID,Manickam Indu²,Kochpatcharin Kevin¹,Kim Myeongsu¹^ORCID,Vugrin Eric²^ORCID,Wang Weichao³^ORCID,Jenkins Chris²,Angin Pelin⁴^ORCID,Yu Meng⁵

Affiliation:

1. Department of Computer Science, Purdue University, West Lafayette, IN, USA

2. Sandia National Laboratories, Albuquerque, NM, USA

3. Software and Information Systems Department, University of North Carolina at Charlotte, Charlotte, NC, USA

4. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

5. Department of Computer Science, Roosevelt University, Chicago, IL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/10314839/10015577.pdf?arnumber=10015577

Reference75 articles.

1. A Survey on the Moving Target Defense Strategies: An Architectural Perspective

2. Fast density clustering strategies based on the k-means algorithm

3. A Practical Attack on the MIFARE Classic

4. VISIBLE: Video-Assisted Keystroke Inference from Tablet Backside Motion

5. A Survey of Moving Target Defenses for Network Security

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