2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops 2014
DOI: 10.1109/icstw.2014.56
|View full text |Cite
|
Sign up to set email alerts
|

On Modeling and Testing Security Properties of Vehicular Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2014
2014
2018
2018

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 28 publications
0
3
0
Order By: Relevance
“…In [6] the authors give an overview of existing security testing approaches and, based on that, develop a novel classification for model-based security testing along two criteria: risk and automation of test generation. [7] provides a solution for testing XACML described security policies. The integration is also done automatically.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In [6] the authors give an overview of existing security testing approaches and, based on that, develop a novel classification for model-based security testing along two criteria: risk and automation of test generation. [7] provides a solution for testing XACML described security policies. The integration is also done automatically.…”
Section: Related Workmentioning
confidence: 99%
“…In the literature, we find several security testing and monitoring tools [3,4,5,6,7] that could be used to achieve the same security testing and monitoring objectives.…”
Section: Introductionmentioning
confidence: 99%
“…B1) and on the monitoring phase (block 3 in Fig. B1), while the details of the dynamic specification of security policies (Ayed et al, 2013;Horcas et al, 2014a) and the testing phases (Aouadi et al, 2014(Aouadi et al, , 2015 are beyond the scope of this paper. The next section presents the correlation that must be maintained between the security policies, the aspects, and the security properties.…”
Section: Testing For Vulnerabilities Detectionmentioning
confidence: 99%