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Automatic Security Detection for Access Control Based on Guided Deep Testing

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DOI: 10.23977/jnca.2016.11007 | Downloads: 37 | Views: 4675


Zou Peng 1, Chen Liang 1, Xiong Dapeng 1, Wang Peng 1


1 Academy of Equipment, Beijing, China

Corresponding Author

Xiong Dapeng


Security detection for access control model by testing whether there is permission leakage, is the key measure to evaluate access control system security. Traditional security verification measure mainly relied on artificial analysis, which is low efficiency and heavy workload. Thus we study on the automatic security detection technology. To avoid the blindness of the test, we propose an improved detection method based on guided deep testing. The novel method improve the test efficiency by reducing the search path.


security detection, access control, permission leakage.


Dapeng, X. , Liang, C. , Peng, W. and Peng, Z. (2016) Automatic Security Detection for Access Control Based on Guided Deep Testing. Journal of Network Computing and Applications (2016) 1: 42-46.


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