Using Attack-Defense Trees to Analyze Threats and Countermeasures in an ATM: A Case Study

نویسندگان

  • Marlon Fraile
  • Margaret Ford
  • Olga Gadyatskaya
  • Rajesh Kumar
  • Mariëlle Stoelinga
  • Rolando Trujillo-Rasua
چکیده

Securing automated teller machines (ATMs), as critical and complex infrastructure, requires a precise understanding of the associated threats. This paper reports on the application of attack-defense trees to model and analyze the security of ATMs. We capture the most dangerous multi-stage attack scenarios applicable to ATM structures, and establish a practical experience report, where we reflect on the process of modeling ATM threats via attack-defense trees. In particular, we share our insights into the benefits and drawbacks of attack-defense tree modeling, as well as best practices and lessons learned.

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تاریخ انتشار 2016