A taxonomy of network and computer attacks

Untitled work

(1998) · Defense Technical Information Center (DTIC) · Cited by 419

The internet worm program: an analysis

Spafford, E. H. (1989) · ACM SIGCOMM Computer Communication Review · doi:10.1145/66093.66095 · Cited by 399

A common language for computer security incidents

Howard, J. D., & Longstaff, T. A. (1998) · doi:10.2172/751004 · Cited by 334

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Krsul, I., & Spafford, E. H. (1998) · Cited by 287

Fundamentals of computer security technology

Amoroso, E. G. (1994) · Medical Entomology and Zoology · Cited by 285

How to systematically classify computer security intrusions

Lindqvist, U., & Jonsson, E. (2002) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/secpri.1997.601330 · Cited by 266

Fundamentals of computer security technology

Sommer, P. (1994) · Computer Fraud & Security Bulletin · doi:10.1016/0142-0496(94)90187-2 · Cited by 208

With microscope and tweezers: an analysis of the Internet virus of November 1988

Eichin, M. W., & Rochlis, J. A. (2003) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/secpri.1989.36307 · Cited by 197

Security analysis and enhancements of computer operating systems

Abbott, R. P., Chin, J. S., Donnelley, J. E., Konigsford, W. L., Tokubo, S., Webb, D. A., & Linden, T. A. (1976) · doi:10.6028/nbs.ir.76-1041 · Cited by 134

Untitled work

(2001) · Cited by 127

Novel intrusion prediction mechanism based on honeypot log similarity

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Chapman, I. M., Leblanc, S. P., & Partington, A. (2011) · Annual Simulation Symposium (ANSS) · doi:10.5555/2048558.2048569 · Cited by 26

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Ontologies and Information Systems: A Literature Survey

Nguyen, V. H. (2011) · Cited by 25

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Meng, K., Lin, C., Wang, Y., & Yang, Y. (2014) · Cited by 24

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Bunke, M. (2015) · European Conference on Pattern Languages of Programs · doi:10.1145/2855321.2855364 · Cited by 24

Ontology-based knowledge representation for malware individuals and families

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Network Attacks

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(2015) · Elsevier eBooks · doi:10.1016/c2014-0-00456-x · Cited by 35

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An, G., & Park, J. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73547-2_20 · Cited by 7

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