By Amund Skavhaug, Jérémie Guiochet, Friedemann Bitsch
This e-book constitutes the refereed complaints of the thirty fifth foreign convention on machine protection, Reliability, and safety, SAFECOMP 2016, held in Trondheim, Norway, in September 2016. The 24 revised complete papers awarded have been rigorously reviewed and chosen from seventy one submissions. The papers are prepared in topical sections on fault injection, protection insurance, formal verification, automobile, anomaly detection and resilience, cyber defense, fault bushes, and defense analysis.
Read or Download Computer Safety, Reliability, and Security: 35th International Conference, SAFECOMP 2016, Trondheim, Norway, September 21-23, 2016, Proceedings PDF
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Extra resources for Computer Safety, Reliability, and Security: 35th International Conference, SAFECOMP 2016, Trondheim, Norway, September 21-23, 2016, Proceedings
Example text
4. In this organization, the top-level goal of the rationale is fitness for use in the target application, where fitness for use could reasonably be defined as: (a) the software meets stated requirements, and (b) the software avoids states that could lead to an identified system hazard. Combined, these indicate that the software does what is expected and prevents known hazards, and could be judged to be adequately safe. We note that avoiding identified hazards is an example of a cross-cutting theme related to “why” the system is safe.
4 we show an example process model created from the meta-model described above. The example process used is the process of formally checking 1 2 As described later, we use the term ‘Activity’ to refer to the relevant process. eu/. 30 R. Hawkins et al. Fig. 2. EMF [19] core meta-model of processes contracts specified using OCRA [14]. The results of the contract checking can be used to provide evidence as part of an assurance justification for the system by demonstrating that important security properties hold.
Before we explain the above metrics, we describe the possible outcomes of the fault injection experiment across AUTs as follows: – Crash: Application is aborted due to an exception. – Hang: Application fails to respond to a heartbeat. – SDC (Silent Data Corruption): Outcome of application is different from the fault-free execution result (we assume that the fault-free execution is deterministic, and hence any differences are due to the fault). – Benign: None of the above outcomes (observable results) with respect to either fault masking or non-triggering faults.