Software Vulnerability Detection Methodology Combined with Static and Dynamic Analysis-Reference-Cited by-同舟云学术

Software Vulnerability Detection Methodology Combined with Static and Dynamic Analysis

Published:2015-12-17 Issue:3 Volume:89 Page:777-793
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Kim Seokmo,Kim R. Young Chul,Park Young B.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-015-3152-1.pdf

Reference28 articles.

1. National Institute of Standards and Technology (NIST). (2014). National vulnerability database. Retrieved September 28, 2014. http://nvd.nist.gov .

2. Dhamankar, R., Dausin, M., Eisenbarth, M., King, J., Kandek, W., Ullrich, J., & Lee, R. (2009). The top cyber security risks. Tipping Point, Qualys, the Internet Storm Center and the SANS Institute faculty, Tech. Rep.

3. Gopalakrishna, R., Spafford, E., & Vitek, J. (2005). Vulnerability likelihood: A probabilistic approach to software assurance. CERIAS, Purdue Univeristy Tech. Rep, 6, 2005.

4. Vassilaras, S., & Yovanof, G. S. (2010). Wireless innovations as enablers for complex & dynamic artificial systems. Wireless Personal Communications, 53(3), 365–393.

5. Garitano, I., Fayyad, S., & Noll, J. (2015). Multi-metrics approach for security, privacy and dependability in embedded systems. Wireless Personal Communications, 81(4), 1359–1376.

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