Risk-Based Models of Attacker Behavior in Cybersecurity-Reference-Cited by-同舟云学术

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Risk-Based Models of Attacker Behavior in Cybersecurity

Published:2013 Issue: Volume: Page:523-532
ISSN:0302-9743
Container-title:Social Computing, Behavioral-Cultural Modeling and Prediction
language:
Short-container-title:

Author:

Li Si,Rickert Ryan,Sliva Amy

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-37210-0_57

Reference26 articles.

1. Al Mannai, W.I., Lewis, T.G.: A general defender-attacker risk model for networks. Journal of Risk Finance (Emerald Group Publishing Limited) 9(3), 244–261 (2008)

2. Alhazmi, O.H., Malaiya, Y.K., Ray, I.: Measuring, analyzing and predicting security vulnerabilities in software systems. Computers and Security 26(3), 219–228 (2007)

3. Bai, H., Wang, K., Hu, C., Zhang, G., Jing, X.: Boosting performance in attack intention recognition by integrating multiple techniques. Frontiers of Computer Science in China, 109–118 (2011)

4. Bao, N., Kreidl, O.P., Musacchio, J.: A network security classification game (2011)

5. Cremonini, M., Nizovtsev, D.: Risks and benefits of signaling information system characteristics to strategic attackers. Journal of Management Information Systems 26(3), 241–274 (2009)

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