Evolving secure information systems through attack simulation

Autor(en)

Elmar Kiesling, Andreas Ekelhart, Bernhard Grill, Christine Strauss, Christian Stummer

Abstrakt

In this paper, we introduce a simulation-based, evolutionary approach for analyzing and improving the security of complex information systems. Rather than following a purely technical approach, we bring in a social and behavioral perspective through a combination of conceptual security knowledge modeling, behavioral modeling of threat agents, simulation of attacks, and evolutionary optimization.
Based on results from numerous attack simulations for various internal and external attackers, metrics such as impact on confidentiality, availability, and integrity of the simulated attacks are monitored and efficient sets of security controls with respect to multiple risk, cost and benefit objectives are determined. We describe the developed approach as well as a prototypical implementation and demonstrate its applicability by means of an illustrative example.

Organisation(en)

Institut für Rechnungswesen, Innovation und Strategie

Externe Organisation(en)

Technische Universität Wien, Secure Business Austria (SBA), Universität Bielefeld

Seiten

4868-4877

Anzahl der Seiten

10

DOI

https://doi.org/10.1109/HICSS.2014.597

Publikationsdatum

2014

Peer-reviewed

Ja

ÖFOS 2012

107007 Risikoforschung, 102016 IT-Sicherheit

Schlagwörter

ASJC Scopus Sachgebiete

Allgemeiner Maschinenbau

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/f91d2961-e2c1-4743-95b1-d0b02466facb