EEMCS

Home > Publications
Home University of Twente
Education
Research
Prospective Students
Jobs
Publications
Intranet (internal)
 
 Nederlands
 Contact
 Search
 Organisation

EEMCS EPrints Service


25984 Time dependent analysis with dynamic counter measure trees
Home Policy Brochure Browse Search User Area Contact Help

Kumar, Rajesh and Guck, D. and Stoelinga, M.I.A. (2015) Time dependent analysis with dynamic counter measure trees. In: Proceedings of the 13th Workshop on Quantitative Aspects of Programming Languages and Systems (QAPL 2015), 11-12 April 2015, London, England. pp. 1-5. Inria. ISSN not assigned ISBN not assigned

Full text available as:

PDF

180 Kb
Open Access



Official URL: http://arxiv.org/pdf/1510.00050.pdf

Exported to Metis

Abstract

The success of a security attack crucially depends on time: the more time available to the attacker, the higher the probability of a successful attack. Formalisms such as Reliability block diagrams, Reliability graphs and Attack Countermeasure trees provide quantitative information about attack scenarios, but they are provably insufficient to model dependent actions which involve costs, skills, and time. In this presentation, we extend the Attack Countermeasure trees with a notion of time; inspired by the fact that there is a strong correlation between the amount of resources in which the attacker invests (in this case time) and probability that an attacker succeeds. This allows for an effective selection of countermeasures and rank them according to their resource consumption in terms of costs/skills of installing them and effectiveness in preventing an attack.

Item Type:Conference or Workshop Paper (Extended Abstract, Talk)
Research Group:EWI-FMT: Formal Methods and Tools
Research Program:CTIT-General
Research Project:ArRangeer: smARt Railroad maintenance eNGinEERing with stochastic model checking, TREsPASS: Technology-supported Risk Estimation By Predictive Assessment Of Socio-technical Security
Additional Information:Foreground = 80% ; Type of activity = Workshop ; Main leader = UT ; Type of audience = scientific community ; Size of audience = 30 ; Countries addressed = international ;
Uncontrolled Keywords:counter measure trees, attack trees, time dependent analysis
ID Code:25984
Status:Published
Deposited On:25 October 2015
Refereed:No
International:Yes
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item