Data Mining Algorithms in the Analysis of Security Logs from a Honeypot System

Author:

Buda Michał,Bluemke Ilona

Publisher

Springer International Publishing

Reference15 articles.

1. Mokube, I., Adams, M.: Honeypots: Concepts, Approaches, and Challenges. doi: 10.1145/1233341.1233399

2. Buda, M.: Implementation and Integration of WEB Application Honeypot System Together with Advanced System for Monitoring and Preliminary data Analysis. Ba diploma, Institute of Computer Science, Warsaw University of Technology, Warsaw (2013) (in polish)

3. Bayard, R.J.: Efficiently mining long patterns from databases. In: SIGMOD ‘98 Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, pp. 85–93 (1998). doi: 10.1145/276304.276313

4. Cabaj, K.: The new approach to the knowledge discovery in data streams. Ph.D. thesis, Institute of Computer Science, Warsaw University of Technology, Warsaw (2009) (in polish)

5. Biedermann, S., Mink, M., Katzenbeisser, S.: Fast dynamic extracted Honeypots in cloud computing. In: CCSW ‘12 Proceedings of the 2012 ACM Workshop on Cloud Computing Security Workshop, pp. 13–18 (2012). doi: 10.1145/2381913.2381916

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Latest Research Progress of Honeypot Technology;J ELECTRON INF TECHN;2019

2. Data Mining in Long-Term Honeypot Data;2017 IEEE International Conference on Data Mining Workshops (ICDMW);2017-11

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