This paper proposes an abstract framework to address the problem of fault-tolerant integration of information provided by multiple sensors. Extending our earlier results[lO], this paper presents a formal description of spatially distributed sensor networks, where i) clusters of sensors monitor (possible overlapping) regions of the environment; ii) sensors return measured values of a multi-dimen...

Self-stabilization is a versatile approach to fault-tolerance since it permits a distributed system to recover from any transient fault that arbitrarily corrupts the contents of all memories in the system. Byzantine tolerance is an attractive feature of distributed systems that permits to cope with arbitrary malicious behaviors. We consider the well known problem of constructing a breadth-first...

Fault attacks as introduced by Bellcore in 1996 are still a major threat toward cryptographic products supporting RSA signatures. Most often on embedded devices, the public exponent is unknown, turning resistance to fault attacks into an intricate problem. Over the past few years, several techniques for secure implementations have been published, all of which suffering from inadequacy with the ...

Evolvable hardware combines the powerful search capability of evolutionary algorithms with the flexibility of reprogrammable devices, thereby providing a natural framework for reconfiguration. This framework has generated an interest in using evolvable hardware for fault-tolerant systems because reconfiguration can effectively deal with hardware faults whenever it is impossible to provide spare...

Extracting features from original signals is a key procedure for traditional fault diagnosis of induction motors, as it directly influences the performance of fault recognition. However, high quality features need expert knowledge and human intervention. In this paper, a deep learning approach based on deep belief networks (DBN) is developed to learn features from frequency distribution of vibr...