Towards model co-evolution across self-adaptation steps for combined safety and security analysis

Abstract

Self-adaptive systems offer several attack surfaces due to the communication via different channels and the different sensors required to observe the environment. Often, attacks cause safety to be compromised as well, making it necessary to consider these two aspects together. Furthermore, the approaches currently used for safety and security analysis do not sufficient take into account the intermediate steps of an adaptation. Current work in this area ignores the fact that a self-adaptive system also reveals possible vulnerabilities (even if only temporarily) during the adaptation. To address this issue, we propose a modeling approach that takes into account the different relevant aspects of a system, its adaptation process, as well as safety hazards and security attacks. We present several models that describe different aspects of a self-adaptive system and we outline our idea of how these models can then be combined into an Attack-Fault Tree. This allows modeling aspects of the system on different levels of abstraction and co-evolve the models using transformations according to the adaptation of the system. Finally, analyses can then be performed as usual on the resulting Attack-Fault Tree. CCS CONCEPTS• Software and its engineering → System description languages; Fault tree analysis; • Computer systems organization → Embedded and cyber-physical systems; Dependable and faulttolerant systems and networks.

A Distributed MAPE-K Framework for Self-Protective IoT Devices

“…Witte et al [40] propose the Attack-Fault-Trees modeling approach to analyze security issues, while Yuan et al [41] provide a taxonomy, patterns, and tactics for self-protecting software systems, and propose the Architecture-Based Self-Protection approach [42] for web applications. The Anomaly Behavior Analysis Intrusion Detection System [43], [44] is used to detect known and unknown attacks in smart cyber infrastructures.…”