Topics of Interest
Key Focus Areas
- Assured and Trusted IoT Microelectronic Applications
- IoT Hardware Security and Trust
- Edge Computing Security Applications
- Secure IoT-based Distributed Systems, Edge, and Cloud Computing
- IoT Network/Communication Security and Privacy
- Trustworthy ML and Embedded AI Hardware
- Secure Heterogeneous System Integration
- Reliable and Assured 3D/Additive Manufacturing
- Artificial Intelligence and Applications
Topic of Interest
Track 1:
Assured and Trusted IoT & Microelectronic Systems
- Secure Microelectronics for IoT Devices
- Secure IoT Device Supply Chains
- Trusted Computing for IoT Applications
- Secure Embedded AI Systems
- Secure and Assured 3D/Additive Manufacturing for IoT Systems
- Hardware Root of Trust and Tamper-Resistance in IoT
- Secure Boot and Firmware Integrity
Track 2:
Secure IoT/ Edge and Heterogeneous System Integration
- IoT Hardware Security and Trust
- Security and Assurance in Heterogeneous System Integration
- Secure Hardware Accelerators for IoT
- Supply Chain Integrity Verification for Embedded Systems
- Side-Channel Analysis and Countermeasures
- Physical Unclonable Functions (PUFs) for IoT Identity
Track 3:
Distributed and Cloud Systems Security
- Edge Computing Security Techniques
- Secure IoT-based Distributed Systems, Edge, and Cloud Computing
- IoT-Based Distributed Systems Security
- Digital Twin Security for IoT Systems
- Advanced IoT Security Frameworks
- Blockchain for Secure Distributed IoT Systems
- Blockchain-enabled Trust and Data Integrity in Cloud-Edge Architectures
Track 4:
Network and Communication Protocol Security and Privacy
- IoT Network/Communication Security and Privacy
- Secure IoT Communication Protocols
- Blockchain for IoT Device Authentication
- Smart Contract Security in IoT
- Quantum-Safe Cryptography for IoT
- Zero Trust Architecture in IoT Networks
- 5G and IoT Security
- Physical Layer Security
- IoT Privacy Enhancing Technologies
- Secure and Green Communication for IoT Systems
Track 5:
: Trustworthy AI and Machine Learning Security
- Trustworthy Machine Learning for IoT
- AI-driven Threat Detection for IoT
- Deep Learning for IoT Anomaly Detection
- Secure Generative AI for Predictive Modeling in IoT
- AI-based Fraud Detection Systems
- Trusted ML and Embedded AI Hardware
- AI for Secure Decision-Making in IoT
- Adversarial Attacks and Data Poisoning Defenses in IoT AI/ML
- Model Robustness and Resilience in IoT AI/ML Systems
- Privacy-Preserving Machine Learning in IoT
- Trustworthy AI/ML Pipelines and Secure Deployment in IoT Systems
Track 6:
: AI-Enabled Cyber-Physical Systems Security
- Security and Privacy in AI-driven Smart City Applications
- Securing AI-based Healthcare Systems and Data
- Safety, Security, and Validation of AI in Autonomous Vehicles
- Resilience of AI-Driven Control Systems for Critical Infrastructure
- Secure Manufacturing and Supply Chain Assurance
