Lightweight Authentication Protocols for Ambient IoT Devices in 5G Networks
The authors propose several lightweight authentication protocols tailored for ambient IoT (AIoT) devices in 5G networks, which are designed to accommodate different communication topologies and leverage lightweight cryptographic algorithms like Ascon to strike a balance between security and efficiency.
Mitigating Hatchetman Attack in RPL-based IoT Networks using Game Theory
This paper proposes a lightweight game theoretic approach to detect and mitigate the Hatchetman attack, a denial of service attack specific to the RPL routing protocol in IoT networks.
Ruledger: Ensuring Execution Integrity in Trigger-Action IoT Platforms
Ruledger ensures the integrity of rule executions in smart home systems by utilizing a ledger-based IoT platform.
Enhancing IoT Device Authentication with MCU-Token Framework
MCU-Token provides secure hardware fingerprinting for IoT devices, defending against mimic and reuse attacks.
ASOP: A Sovereign and Secure Device Onboarding Protocol for Cloud-based IoT Services
ASOPは、IoTデバイスのための主権と安全なデバイスオンボーディングプロトコルを提供し、製造業者や第三者証明機関に依存しない方法を示しています。
Signal Injection Attack on ZIPA for IoT Security
Signal injection attacks can compromise ZIPA systems by exploiting environmental signals, posing a significant threat to IoT security.
PhenoAuth: A Novel PUF-Phenotype-based Authentication Protocol for IoT Devices at IEEE HOST 2024
物理的不複製機能（PUFs）を活用した新しいIoTデバイスの認証プロトコルに焦点を当てる。
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Utilizing Federated Learning to enhance IoT security against DDoS attacks.
Ruledger: Ensuring Execution Integrity in Trigger-Action IoT Platforms
Ruledger ensures the integrity of rule executions in smart home systems by utilizing a ledger-based approach to verify the authenticity of information and prevent malicious rule executions.
Ensuring Trust in Data for IoT Systems with TDT Solution
The author proposes the Trusted Data over the Tangle (TDT) solution to ensure trust in data for IoT systems by combining IOTA Tangle and Trusted Platform Module. The core reasoning is to provide end-to-end protection of data integrity and authenticity.
