Hardware Trust and Assurance in Image Analysis and Machine Learning Perspectives
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 5162
Special Issue Editor
Special Issue Information
The complex long life of the electronic devices coupled with their diverse applications are making them increasingly vulnerable to various forms of threats. Large industry and government efforts are put in place across the globe to address the supply chain security problem and to offer solutions, training, and services. The number of programs introduced by governments have increased over the years in this area.
Although much focus is given to digital domain and testing, physical inspection, image analysis and machine learning for hardware trust and assurance is gaining a lot of attention recently.
Multi-disciplinary research and multi-pronged approaches are sought for development of a fully operational attack targeting different phases in the entire life cycle of an electronic system. Artificial intelligence (AI) and computer vision (CV) play a crucial role in design and development of both threats and countermeasures in hardware. Within the scope of hardware security there a number of areas that require extensive research including physical inspection, decomposition, hardware Trojan design and detection, side-channel analysis, security of Internet of Things (IoT), and secure massive data communication and processing.
Human-level performance of the intelligent and complex tasks, brings in its own pros and cons. The challenges and potential solutions, encourage the researchers to investigate hardware-level vulnerabilities of AI (i.e. implementation attacks, model stealing, etc.), the hardware-level trustworthiness of AI (i.e. robust AI hardware accelerator, implementation attack resilient AI chip design, countermeasures), and the applications of AI for hardware security. In particular, if failure analysis and imaging tools such as voltage imaging or contactless probing techniques are used to provide side information for inspection or attack. In addition, physical fingerprinting based on analog parameters are rapidly providing opportunities for unique countermeasures.
- Emerging topics in physical inspection and assurance
- Counterfeit Detection and Anti-Counterfeit Technique
- Image analysis and artificial intelligence for assurance and inspection
- Chip and PCB level decomposition for assurance
- Electro-optical probing using PEM, EOP, EOFM, etc.
- Hardware Trojan Models and Detection Techniques
- Trusted and Malicious Hardware-Level AI systems
- Cross-Layer Hardware Security
- Security Verification of Intellectual Properties and Integrated Circuits
- Computer Vision for Hardware Security
- Robustness in Hardware-Level Computer Vision Algorithms
- Hardware Implementation of Biometrics, Forensics, and Physical Security Systems
- Fault Injection and Mitigation for Hardware-Level AI Systems
Dr. Navid Asadi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Emerging topics in physical inspection and assurance
- Counterfeit Detection and Anti-Counterfeit Technique
- Image analysis and artificial intelligence for assurance and inspection
- Chip and PCB level decomposition for assurance
- Electro-optical probing using PEM, EOP, EOFM, etc.
- Hardware Trojan Models and Detection Techniques
- Trusted and Malicious Hardware-Level AI systems
- Cross-Layer Hardware Security
- Security Verification of Intellectual Properties and Integrated Circuits
- Computer Vision for Hardware Security
- Robustness in Hardware-Level Computer Vision Algorithms
- Hardware Implementation of Biometrics, Forensics, and Physical Security Systems
- Fault Injection and Mitigation for Hardware-Level AI Systems
