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Content available remote Risk-Based Continuous Quality Control for Software in Legal Metrology
EN
Measuring instruments are increasingly defined by complex software while using simple hardware sensors. For such systems, software conformity between certified prototypes and devices in the field is usually demonstrated using version numbers and hashes over executable code. Legal requirements for regulated instruments could equally be satisfied if prototype and device in the field display identical functional behavior even if hashes differ. Such functional identification can give instrument manufacturers room for software patches and bugfixes without the need for recertification. Based on the L∗ algorithm, which is used to learn the language which deterministic finite automata accept, a risk-based method is proposed that realizes automatic functional identification of software to a certain extent, thereby enabling quality control of regularly updated measuring instruments without the need for frequent manual inspections. Risk assessment may be used to identify critical state transitions in monitored devices, which can be used to trigger recertifications if needed.
2
Content available remote Bernoulli Meets PBFT: Modeling BFT Protocols in the Presence of Dynamic Failures
EN
The publication of the pivotal state machine replication protocol PBFT laid the foundation for a body of BFT protocols. We introduce a probabilistic model for evaluating BFT protocols in the presence of dynamic link and crash failures. The model is derived from the communication pattern, facilitating an adaptation to other protocols. The state of replicas is captured and used to derive the success probability of the protocol execution. To this end, we examine the influence of link and crash failure rates as well as the number of replicas. A comparison in protocol behavior of PBFT, Zyzzyva and SBFT is performed.
EN
Since the introduction of the Measuring Instruments Directive 2014/32/EU, prototypes of measuring instruments subject to legal control in the European Union must be accompanied by a risk assessment, when being submitted for conformity assessment. Taximeters, water meters, electricity meters or fuel pumps form the basis for the economic sector usually known as Legal Metrology, where the development towards cheaper allpurpose hardware combined with more sophisticated software is imminent. Therefore, a risk assessment will always have to include software-related issues. Hitherto, publications about software risk assessment methods lack an efficient means to derive and assess suitable countermeasures for risk mitigation. To this end, attack trees are used in related research fields. In this paper, defense probability trees are derived from attack probability trees, well-suited to the requirements of software risk assessment and used to identify optimal sets of countermeasures. The infamous Meltdown vulnerability is used to highlight the experimental application of the method.
EN
The Measuring Instruments Directive sets down essential requirements for measuring instruments subject to legal control in the EU. It dictates that a risk assessment must be performed before such instruments are put on the market. Because of the increasing importance of software in measuring instruments, a specifically tailored software risk assessment method has been previously developed and published. Related research has been done on graphical representation of threats by attack probability trees. The final stage is to formalize the method to prove its reproducibility and resilience against the complexity of future instruments. To this end, an inter-institutional comparison of the method is currently being conducted across national metrology institutes, while the weighing equipment manufacturers' association CECIP has provided a new measuring instrument concept, as a significant example of complex instruments. Based on the results of the comparison, a template to formalize the software risk assessment method is proposed here.
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