Accounting information systems and system of systems: Assessing security with attack surface methodology

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

Accounting Information Systems are playing the protagonist role in enterprise. This is because they provide the necessary financial information required by law. At the same time there is an increasingly cyber security risk for AIS, which can be considered part of critical infrastructure, in that sense assessing cybersecurity risks is essential. The contribution of the paper is twofold. Firstly, in this paper the authors apply the attack surface methodology and further develop it to assess such risks. Secondly, the attack surface methodology has been expanded to include related systems to AIS.

Original languageEnglish
Title of host publicationICCBDC 2019 - Proceedings of 2019 3rd International Conference on Cloud and Big Data Computing
Publisher Association for Computing Machinery
Pages100-105
Number of pages6
ISBN (Electronic)9781450371650
DOIs
Publication statusPublished - 28 Aug 2019
Event3rd International Conference on Cloud and Big Data Computing, ICCBDC 2019 - Oxford, United Kingdom
Duration: 28 Aug 201930 Aug 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Cloud and Big Data Computing, ICCBDC 2019
CountryUnited Kingdom
CityOxford
Period28/08/1930/08/19

Keywords

  • Accounting and Finance
  • Accounting Information Systems
  • Big Data
  • Cloud
  • Cybersecurity
  • Economics
  • ERP
  • Risk Management
  • System of Systems

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Petratos, P., & Faccia, A. (2019). Accounting information systems and system of systems: Assessing security with attack surface methodology. In ICCBDC 2019 - Proceedings of 2019 3rd International Conference on Cloud and Big Data Computing (pp. 100-105). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3358505.3358513