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New Directions in Attack Tree Research: Catching up with Industrial Needs
GADYATSKAYA, Olga; TRUJILLO RASUA, Rolando
2018In MAUW, Sjouke (Ed.) Proceedings of the 4th International Workshop on Graphical Models for Security
Peer reviewed
 

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Keywords :
attack trees; security risk management; industry
Abstract :
[en] Attack trees provide a systematic way of characterizing diverse system threats. Their strengths arise from the combination of an intuitive representation of possible attacks and availability of formal mathematical frameworks for analyzing them in a qualitative or a quantitative manner. Indeed, the mathematical frameworks have become a large focus of attack tree research. However, practical applications of attack trees in industry largely remain a tedious and error-prone exercise. Recent research directions in attack trees, such as attack tree generation, attempt to close this gap and to improve the attack tree state-of-thepractice. In this position paper we outline the recurrent challenges in manual tree design within industry, and we overview the recent research results in attack trees that help the practitioners. For the challenges that have not yet been addressed by the community, we propose new promising research directions.
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Disciplines :
Computer science
Author, co-author :
GADYATSKAYA, Olga ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
TRUJILLO RASUA, Rolando ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
New Directions in Attack Tree Research: Catching up with Industrial Needs
Publication date :
January 2018
Event name :
The 4th International Workshop on Graphical Models for Security (GraMSec)
Event place :
Santa Barbara, United States
Event date :
21-08-2017
Audience :
International
Main work title :
Proceedings of the 4th International Workshop on Graphical Models for Security
Author, co-author :
Publisher :
Springer
Collection name :
Lecture Notes in Computer Science 10744
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
European Projects :
FP7 - 318003 - TRESPASS - Technology-supported Risk Estimation by Predictive Assessment of Socio-technical Security
FnR Project :
FNR5809105 - Attack-defence Trees: Theory Meets Practice, 2013 (01/07/2014-30/06/2017) - Sjouke Mauw
Name of the research project :
ADT2P
Funders :
CE - Commission Européenne
Available on ORBilu :
since 15 December 2017

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