The rapid proliferation of the Internet of Things (IoT) and Edge Artificial Intelligence (Edge AI) is transforming the way intelligent services are deployed across smart cities, healthcare, industrial automation, transportation, agriculture, energy systems, and critical infrastructure. By enabling real-time data processing and decision-making at the network edge, Edge AI reduces latency, conserves bandwidth, and enhances operational efficiency. However, the distributed and resource-constrained nature of IoT devices and edge computing environments introduces significant cybersecurity challenges, including device compromise, insecure firmware, adversarial attacks on AI models, data privacy breaches, insecure communication protocols, supply chain vulnerabilities, and unauthorized access. As AI capabilities become increasingly embedded in edge devices, ensuring the security, resilience, and trustworthiness of IoT and Edge AI ecosystems has become a critical research priority.
The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on IoT and Edge AI Security. This track aims to bring together researchers, cybersecurity professionals, AI scientists, industry experts, and policymakers to present innovative solutions for securing intelligent edge devices, distributed AI systems, and interconnected IoT networks. Contributions addressing secure architectures, AI-driven threat detection, privacy-preserving edge intelligence, lightweight cryptographic techniques, zero-trust frameworks, resilient communication protocols, and real-world deployment challenges are particularly encouraged.
