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Procedia Computer Science
Article . 2014 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article . 2014
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Attacks Generation by Detecting Attack Surfaces

Authors: Samir Ouchani; Gabriele Lenzini;

Attacks Generation by Detecting Attack Surfaces

Abstract

AbstractIn the development process of software and systems, one of the main challenges is to detect the existing attack surfaces and their exact related attacks. In this paper, we address the issue of generating attacks related to systems that are designed by using SysML activity diagrams. For this purpose, we develop a practical framework to enable attack surfaces detection and producing their related attacks. First, we propose a formalization of SysML activity diagrams, then we rely on the standard catalog of attacks to build a library of attack patterns. The extracted patterns are modeled as SysML activity diagrams too. Finally, given an SysML activity diagram of a system and a library of SysML attack patterns, we propose an algorithm that automatically detects attacks surfaces relevant to a system under test and generate their related possible attacks.

Country
Luxembourg
Keywords

: Computer science [C05] [Engineering, computing & technology], Attack Patterns, Attack Surfaces, Activity Diagrams ;, Systems Attacks, SysML, : Sciences informatiques [C05] [Ingénierie, informatique & technologie]

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
Green
gold