State of IoT Security

Top papers

• Impact of Differentials in SIMON32 Algorithm for Lightweight Security of Internet of Things(7.0)
• An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks(6.0)
• Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape(5.0)
• In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis(5.0)
• Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints(5.0)
• On Securing the Software Development Lifecycle in IoT RISC-V Trusted Execution Environments(4.0)
• Performance Testing of ChaCha20-Poly1305 for Internet of Things and Industrial Control System devices(4.0)
• Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection(3.0)
• External entropy supply for IoT devices employing a RISC-V Trusted Execution Environment(3.0)