Incremental Contract-based Verification of Software Updates for Safety-Critical Cyber-Physical Systems

Bebawy, Yosab; Guissouma, Houssem; Maelen, Sebastian Vander; Kroger, Janis; Hake, Georg; Stierand, Ingo; Fränzle, Martin; Sax, Eric; Hahn, Axel

doi:10.1109/csci51800.2020.00318

Cited by 14 publications

(1 citation statement)

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“…Component-based systems Nejati et al [190] provide a review of approaches to tackle state space explosion in component-based system verification. In [22], the authors use a contract-based design to specify correct interactions between modules and incrementally verify changes. In [135], the authors combine compositional verification and assumeguarantee reasoning with incremental verification to analyse component-based systems whose components and structure change dynamically at runtime.…”

Section: Modular Verification Of Component-based and Stochastic Systemsmentioning

confidence: 99%

Design and Analysis of Self-protection: Adaptive Security for Software-Intensive Systems

Skandylas¹

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Today's software landscape features a high degree of complexity, frequent changes in requirements and stakeholder goals, and uncertainty.Uncertainty and high complexity imply a threat landscape where cybersecurity attacks are a common occurrence while their consequences are often severe. Self-adaptive systems have been proposed to mitigate the complexity and frequent changes by adapting at run-time to deal with situations not known at design time.Self-adaptive systems that aim to identify, analyse and mitigate threats autonomously are called self-protecting systems.This thesis contributes approaches towards developing systems with self-protection capabilities under two perspectives. Under the first perspective, we enhance the security of component-based systems and equip them with self-protection capabilities that reduce the exposedattack surface or provide efficient defenses against identified attacks. We target systems where information about the system components and the adaptationdecisions is available, and control over the adaptation is possible. We employ runtime threat modeling and analysis using quantitative risk analysis and probabilistic verification to rank adaptations to be applied in the system in terms of their security levels. We then introduce modular and incremental verification approaches to tackle the scalability issues of probabilistic verification to be able to analyze larger-scale software systems.To protect against cyberattacks that cannot be mitigated by reducing the exposed attack surface, we propose an approach to analyze the security of different software architectures incorporating countermeasures to decide on the most suitable ones to evolve to. Under the second perspective, we study open decentralized systems where we have limited information about and limited control over the system entities. We employ decentralized information flow control mechanisms to enforce security by controlling the interactions among the system elements.We extend decentralized information flow control by incorporating trust and adding adaptationcapabilities that allow the system to identify security threats and self-organize to maximize trust between the system entities.

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Section: Modular Verification Of Component-based and Stochastic Systemsmentioning

confidence: 99%