Detecting RTL Trojans Using Artificial Immune Systems and High Level Behavior Classification
Security assurance in a computer system can be viewed as distinguishing between self and non-self. Artificial Immune Systems (AIS) are a class of machine learning (ML) techniques inspired by the behavior of innate biological immune systems, which have evolved to accurately...
Main Author: | Zareen, Farhath |
---|---|
Format: | Others |
Published: |
Scholar Commons
2019
|
Subjects: | |
Online Access: | https://scholarcommons.usf.edu/etd/7992 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=9189&context=etd |
Similar Items
-
A New Characterization of Hardware Trojans
by: Samer Moein, et al.
Published: (2016-01-01) -
Hardware Security in IoT Devices with Emphasis on Hardware Trojans
by: Simranjeet Sidhu, et al.
Published: (2019-08-01) -
Trojan Detection in Hardware Designs
by: Raju, Akhilesh
Published: (2017) -
Hardware trojan detection based on the optimized SVM algorithm
by: Zhang Lei, et al.
Published: (2018-11-01) -
An Unsupervised Detection Approach for Hardware Trojans
by: Chen Dong, et al.
Published: (2020-01-01)