Hardware trojan identification using machine learning-based classification

• Main Authors: Noor, N. Q. M., Sjarif, N. N. A., Azmi, N. H. F. M., Daud, S. M., Kamardin, K.
• Format: Article
• Published: Universiti Teknikal Malaysia Melaka 2017
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/76582/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041728473&partnerID=40&md5=ab68f7ffdd8fc67e446700adc25c01e6
• Institution: Universiti Teknologi Malaysia

As Hardware Trojans (HTs) emerges as the new threats for the integrated circuits (ICs), methods for identifying and detecting HTs have been widely researched and proposed. Identifying the HTs are important because it can assist in developing proper techniques for inserting and detecting the treat in...