Reference : Tolerating Resource Exhaustion Attacks in the Time-Triggered Architecture
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Security, Reliability and Trust
Tolerating Resource Exhaustion Attacks in the Time-Triggered Architecture
Alkoudsi, Mohammad Ibrahim [TU Kaiserslautern > Electrical Engineering]
Fohler, Gerhard [TU Kaiserslautern > Electrical Engineering]
Volp, Marcus mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CritiX >]
Brazilian Symposium on Computing Systems Engineering (SBESC)
[en] Real-Time Systems ; Cyberattacks ; Time-Triggered Architecture
[en] The Time-Triggered Architecture (TTA) presents a blueprint for building safe and real-time constrained distributed systems, based on a set of orthogonal concepts that make extensive use of the availability of a globally consistent notion of time and a priori knowledge of events. Although the TTA tolerates arbitrary failures of any of its nodes by architectural means (active node replication, a membership service, and bus guardians), the design of these means considers only accidental faults. However, distributed safety- and real-time critical systems have been emerging into more open and interconnected systems, operating autonomously for prolonged times and interfacing with other possibly non-real-time systems. Therefore, the existence of vulnerabilities that adversaries may exploit to compromise system safety cannot be ruled out. In this paper, we discuss potential targeted attacks capable of bypassing TTA's fault-tolerance mechanisms and demonstrate how two well-known recovery techniques - proactive and reactive rejuvenation - can be incorporated into TTA to reduce the window of vulnerability for attacks without introducing extensive and costly changes.
Researchers ; Professionals ; Students
FnR ; FNR13691843 > Marcus Völp > ByzRT > Byzrt: Intrusion Resilient Real-time Communication And Computation In Autonomous Systems > 01/09/2020 > 31/08/2023 > 2019

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