Recent Advances in Hardware-Oriented Security and Trust in IoT Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 1
Special Issue Editors
Interests: Internet of Things (IoT) design; hardware–software co-design for system-level protection; embedded systems
Special Issue Information
Dear Colleagues,
The growing capabilities of sensing, computing, and communication devices are leading to an explosion in the use of IoT devices. IoT applications follow stringent demands, such as timing and function correctness, disturbance resilience, and data integrity and confidentiality, among others. Thus, the sources of disturbance and attack surfaces are growing and becoming more diversified, while IoT systems are scaling up and becoming more heterogeneous. Due to the significant effects of security vulnerabilities and attacks, IoT system development is facing significant challenges, such as sensitive data leakage, malicious intrusions of power grid, car hijacking, etc. Further, as a type of infrastructure, hardware trustworthiness and security are of crucial significance to IoT systems. Therefore, the purpose of this Special Issue is to seek contributions that exploit hardware attacks, detect hardware-related anomalies, follow a security-oriented hardware design (or hardware and software co-design), and use automated tools in IoT systems. Topics of interest include but are not limited to the following IoT security areas:
- Side-channel and fault attack, and resilience/countermeasures;
- Intrusion and anomaly detection;
- CPS security;
- Smart grid security;
- Hardware security and privacy;
- Formal method-based security verification, program analysis, and fuzzing;
- Security tool development;
- Security-oriented hardware design, or hardware and software co-design;
- Physical unclonable functions (PUFs), random number generators, cryptographic units, and key storage technologies;
- IoT devices and protocol security;
- Machine learning for IoT security.
Dr. Honggang Yu
Dr. Kaichen Yang
Guest Editors
Manuscript Submission Information
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Keywords
- IoT security
- embedded system
- hardware security
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