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Using Bayesian Networks for a Cyberattacks Propagation Analysis in Systems-of-Systems
Universite Pau & Pays Adour, LIUPPA, France.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2018-0996
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5293-3804
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

System of Systems (SoS) represent a set of independent Constituent Systems (CS) that collaborate in order to provide functionalities that they are unable to achieve independently. We consider SoS as a set of connected services that needs to be adequately protected. The integration of these independent, evolutionary and distributed systems, intensifies SoS complexity and emphasizes the behavior uncertainty, which makes an SoS security analysis a critical challenge. One of the major priorities when designing SoS, is to analyze the unknown dependencies among CS services and vulnerabilities leading to potential cyberattacks. The aim of this work is to investigate how Software Engineering approaches could be leveraged to analyze the cyberattack propagation problem within an SoS. Such analysis is essential for an efficient SoS risk assessment performed early at the SoS design phase and required to protect the SoS from possibly high impact attacks affecting its safety and security. In order to achieve our objective, we present a model-driven analysis approach, based on Bayesian Networks, a sensitivity analysis and Common Vulnerability Scoring System (CVSS) with aim to discover potential cyberattacks propagation and estimate the probability of a security failure and its impact on SoS services. W

Place, publisher, year, edition, pages
2019. p. 363-370
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45500DOI: 10.1109/APSEC48747.2019.00056ISI: 000517102200046Scopus ID: 2-s2.0-85078167773ISBN: 9781728146485 (print)OAI: oai:DiVA.org:mdh-45500DiVA, id: diva2:1366262
Conference
26th Asia-Pacific Software Engineering Conference, APSEC 2019; Putrajaya; Malaysia; 2 December 2019 through 5 December 2019
Projects
SAFSEC-CPS -- Securing the safety of autonomous cyber-physical systemsSerendipity - Secure and dependable platforms for autonomyAvailable from: 2019-10-28 Created: 2019-10-28 Last updated: 2020-03-19Bibliographically approved

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Sedaghatbaf, AliLisova, ElenaCausevic, Aida

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CiteExportLink to record
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