Ensuring the integrity of Internet of Things (IoT) objects is challenging due to their limited energy and processing resources, as well as their exposure to security threats. Remote Attestation (RA) is a widely used technique that enables a trusted entity, such as a gateway, to verify the integrity of constrained IoT devices remotely. However, applying RA in constrained environments introduces challenges, including redundant attestations, high energy consumption, and vulnerabilities, such as Time-of-Check-Time-of-Use (TOCTOU) attacks. To address these limitations, this paper proposes a novel autonomic IoT framework for self-managing the integrity of IoT objects using a lightweight remote attestation mechanism and the Autonomic Computing paradigm. The proposed approach uses a DBSCAN model to determine when attestation is required, along with a fuzzy-logic system that dynamically selects an appropriate lightweight hash function based on the device state. Meanwhile, the attestation process uses a lightweight HMAC scheme to ensure device integrity. Our proposed framework reduces redundant attestations, optimizes energy consumption, and extends the lifetime of IoT systems, making it suitable for resource-constrained environments.

Remote Attestation (RA) is a powerful method we can use in the Internet of Things (IoT) to ensure IoT object integrity. However, its management in such an environment with resource limitations of IoT objects, as well as existing issues of RA, such as attestation redundancy and several related attacks, pose significant challenges. To overcome this problem, we propose a novel self-management IoT framework that ensures IoT object integrity using a lightweight Remote Attestation and Autonomic Computing paradigm. Our approach implements a DBSCAN model to identify whenever the IoT object requires attestation, thus ensuring IoT object integrity while reducing attestation redundancy, optimizing energy, and extending IoT lifetime.

International audience

The expansion of the IoT ecosystem has made the confidentiality of IoT data increasingly crucial, leading to the use of lightweight cryptographic algorithms. Due to the large number of objects, heterogeneity, and energy limitations in IoT ecosystems, managing lightweight cryptographic ciphers is an extremely challenging task. In order to address this issue, we suggest a new IoT framework that incorporates self-managed lightweight cryptographic ciphers using the Autonomic Computing paradigm. This approach is based on a decision tree algorithm, which ensures the confidentiality of IoT data, improves the performance and extends the lifetime of IoT devices.

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