Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Abstract

Summary The complexity of cyber‐physical systems (CPSs) opens up several challenges regarding the assurance of high levels of reliability. Therefore, we need to develop a new data quality analysis and new CPS components/subsystems for the detection, isolation, recovery, and prevention of failures and intrusion events. Furthermore, we have to develop new reliability assessment models and metrics in order to properly evaluate CPSs. Agent technologies, through their characteristics such as autonomy, social ability, reactivity, and proactivity, have the potential to address these challenges and requirements. We propose a multi‐agent based solution, namely ReliaCPS, for detecting and preventing the failures of the system components of CPSs. We also use a case study of a CPS for monitoring ambient parameters to evaluate the performance of the proposed approach. Our results indicate improvements in terms of reliability metrics (32.69% for the mean time between failures and mean time to failure, 50% for the mean time to repair and 0.94% for reliability function over time).

Ontology-Based Solution for Handling Safety and Cybersecurity Interdependency in Safety-Critical Systems

“…However, each one of these properties are found in a different superconcept of the solution, which means that they are not associated. Finally, the reliability and availability properties are provided through an ontological solution for detecting and preventing the failures of the system components of Cyber Physical Systems (CPS) [36]. An ontology is used with all the CPS failures described in order to assist a multi-agent architecture to detect and identify the potential failures.…”

“…However, since confidentiality is a subproperty of dependability according to ENISA, it is possible to find ontologies that consider confidentiality for CPS in ontologies that concern all attributes of dependability. In [36], an ontology that concerns all attributes of dependability is used to consider various failures.…”

Foreword to the Special Issue on the 2017 Edition of the Workshop on Performance Evaluation of communications in DIstributed Systems and WEb‐based Service Architectures (PEDISWESA 2017)

“…Focusing on fault management in CPS, Sanislav et al propose a multi‐agent–based solution, called ReliaCPS, to detect and prevent failures of the system components in complex CPS deployments. In fact, reliability is a challenging but core and essential requirement for any CPS.…”

“…The list of the papers of the special issue is provided . At this point, we want to thank all the people involved in the effort of producing this issue, starting from the submitting authors, to the team of enthusiastic reviewers who have provided useful suggestions to authors.…”

Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base

“…They used the Markov chain state transition diagram to model the behavior of sensors. In order to avoid sensor failure in a CPS, Teodora et al [6,7] presented a multi-agent architecture approach, which introduced four types of agents: data processing and diagnostics, diagnosis agent, data processing agent for prevention, and prevention agent. They monitored the behavior of the system and when some failure or maintenance event occurred, the agents analyzed the event and responded by using a knowledge base (KB).…”