Wire Load Variation-Based Hardware Trojan Detection Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Wire Load Variation-Based Hardware Trojan Detection Using Machine Learning Techniques

Published:2019 Issue: Volume: Page:613-623
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Suresh Babu N.,Mohankumar N.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3600-3_58

Reference12 articles.

1. R.S. Chakraborty, F. Wolff, S. Paul, MERO: a statistical approach for hardware Trojan detection, in Proceedings of Cryptographic Hardware and Embedded Systems Workshop (2009), pp. 396–410

2. A. Thakur, P. Sivaraj, R. Periasamy, N. Mohankumar, Hardware Trojan detection-a survey, in 4th National Conference on Recent Trends in Communication Computation and Signal Processing (2013), pp. 99–102

3. X. Zhang, M. Tehranipoor, Case study: detecting hardware Trojans in third-party digital IP cores, in HOST (2011)

4. D. Karunakaran, N. Mohankumar, Malicious combinational hardware Trojan detection by gate level characterization in 90 nm technology, in Proceeding of International Conference on Computing, Communications and Networking Technology (2014), pp. 1–7. https://doi.org/10.1109/icccnt.2014.6963036

5. P.K. Maneesh, M. Nirmala Devi, Power based self-referencing scheme for hardware Trojan detection and diagnosis. Indian J. Sci. Technol. 8(24) (2015)

Cited by 5 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. Application of machine learning in wire damage detection for safety procedure;Soft Computing;2022-02-10

2. Performance Enhancement by Tuning Hyperparameters of Random Forest Classifier for Hardware Trojan Detection;Proceedings of International Conference on Data Science and Applications;2021-11-23

3. Hardware Trojan Detection Using Machine Learning Technique;Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications;2020-10-18

4. Hardware Trojans in Chips: A Survey for Detection and Prevention;Sensors;2020-09-10

5. Microcontroller Based ANN for Pick and Place Robot Coordinate Monitoring System;Lecture Notes in Electrical Engineering;2020