Fault-tolerant and Scalable Key Management Protocol for IoT-based Collaborative Groups

International audienceSecuring collaborative applications relies heavily on the underlying group key management protocols. Designing these protocols ischallenging, especially in the context of the Internet of Things (IoT). Indeed, the presence of heterogeneous and dynamic members within the collaborative groups usually involves resource constrained entities, which require energy-aware protocols to manage frequent arrivals and departures of members. Moreover, both fault tolerance and scalability are sought for sensitive and large collaborative groups. To address these challenges, we propose to enhance our previously proposed protocol (i.e. DBGK) with polynomial computations. In fact, our contribution in this paper, allows additional controllers to be included with no impact on storage cost regarding constrained members. To assess our protocol called DsBGK, we conducted extensive simulations. Results confirmed that DsBGK achieves a better scalability and fault tolerance compared to DBGK. In addition, energy consumption induced by group key rekeying has been reduced

Securing IoT-based Groups: Efficient, Scalable and Fault-tolerant Key Management Protocol

International audienceGroup key management protocols are crucial in establishing secured communication channels for collaborative IoT-based groups. The Internet of Things (IoT) dimension includes additional challenges. In fact, resource constrained members within dynamic and heterogeneous groups are unable to run existing group key protocols. Furthermore, these protocols need to be scalable and fault tolerant to suit growing and sensitive groups. To face these issues, we enhance our previously proposed protocol called Decentralized Batch-based Group Key protocol (DBGK). Using polynomial computation to secure data exchanges, we considerably improve its scalability, fault tolerance and collusion freeness properties. This gain is achieved thanks to the ability to include additional unconstrained members (controllers) while inducing a very limited cost on the constrained members. Furthermore, we include an energy preserving blockchain-based mechanism to authenticate group members credentials in a distributed manner. To assess our new protocol called DiStributed Batch-based Group Key protocol (DsBGK), we performed a detailed theoretical security analysis to evaluate its behaviour against well studied attacks in the literature. Furthermore, we validated this analysis using a formal validation tool. To evaluate DsBGK performances , we performed extensive simulations. We proceeded by comparing DsBGK in term of energy cost, first, with DBGK, then with other analogous protocols from the literature. The results confirmed the security soundness of DsBGK, in addition to an improved energy efficiency compared to its peers

Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security