The Analysis of Firewall Policy Through Machine Learning and Data Mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-017-4330-0/fulltext.html
Reference39 articles.
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2. Al-Shaer, E., Hamed, H., Boutaba, R., & Hasan, M. (2005). Conflict classification and analysis of distributed firewall policies. IEEE Journal on Selected Areas in Communications, 23(10), 2069–2084. doi: 10.1109/JSAC.2005.854119 .
3. Al-Shaer, E. S., & Hamed, H. H. (2003). Firewall policy advisor for anomaly discovery and rule editing. In G. Goldszmidt & J. Schnwlder (Eds.), Integrated network management VIII: Managing it all (p. 1730). Boston, MA: Springer. doi: 10.1007/978-0-387-35674-7 .
4. Alpaydın, E. (2010). Introduction to machine learning (2nd ed.). Cambridge, MA, London: MIT Press.
5. Breier, J., & Branišová, J. (2015). A dynamic rule creation based anomaly detection method for identifying security breaches in log records. Wireless Personal Communications,. doi: 10.1007/s11277-015-3128-1 .
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