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Research – Published Papers

PUBLISHED WORKS

First Author

  1. C. Kemp, C. Calvert, and T. Khoshgoftaar, utilizing netflow data to detect slow read attacks, in 2018 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, 2018, pp. 108–116.
  2. C. Kemp, C. Calvert, and T. M. Khoshgoftaar, Netflow feature evaluation for the detection of slow read http attacks, in Reuse in Intelligent Systems, CRC Press, 2020, pp. 181–219.
  3. C. Kemp, C. Calvert, and T. M. Khoshgoftaar, Detection methods of slow read dos using full packet capture data, in 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2020, pp. 9–16.
  4. C. Kemp, C. Calvert, and T. M. Khoshgoftaar, Detection Methods of Slow Read DoS Using NetFlow and Full Packet Capture Data, in Information Reuse and Integration for Data Science, CRC Press, 2021
  5. C. Kemp, C. Calvert, and T. M. Khoshgoftaar, Detecting Slow Application-Layer DoS Attacks With PCA, in 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2021, pp. 108–116
  6. C. Kemp, C. Calvert, and T. M. Khoshgoftaar and J. L. Leevy. An approach to application-layer DoS detection. Journal of Big Data 10, no. 1 (2023): 22.

Co- Author

  1. Najafabadi MM, Khoshgoftaar TM, Kemp C, Seliya N, Zuech R. Machine learning for detecting brute force attacks at the network level. In2014 IEEE International Conference on Bioinformatics and Bioengineering 2014 Nov 10 (pp. 379-385). IEEE.
  2. Zuech R, Khoshgoftaar TM, Seliya N, Najafabadi MM, Kemp C. A new intrusion detection benchmarking system. In The Twenty-Eighth International Flairs Conference 2015 Apr 7.
  3. M. M. Najafabadi, T. M. Khoshgoftaar, C. Calvert, and C. Kemp. Detection of ssh brute force attacks using aggregated netow data. In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pages {283-288}. IEEE, 2015.
  4. M. M. Najafabadi, T. M. Khoshgoftaar, C. Calvert, and C. Kemp, Detecting man in the middle traffic using packet header information. In 22nd ISSAT International Conference on Reliability and Quality in Design, pages {197-201}, 2016.
  5. C. Calvert, T. M. Khoshgoftaar, C. Kemp, and M. M. Najafabadi. Capturing man in the middle attack traffic on a live network environment. In 22nd ISSAT International Conference on Reliability and Quality in Design, pages 203-209, 2016.
  6. M. M. Najafabadi, T. M. Khoshgoftaar, C. Calvert, and C. Kemp’. Effective selection of packet header fields for detection of man in the middle attacks in LAN environments. In 23rd ISSAT International Conference on Reliability and Quality in Design, 8 pages, 2017.
  7. M. M. Najafabadi, T. M. Khoshgoftaar, C. Calvert, and C. Kemp’. User behavior anomaly detection for application layer ddos attacks. In IEEE IRI. IEEE, 8 pages, 2017.
  8. M. M. Najafabadi, T. M. Khoshgoftaar, C. Calvert, and C. Kemp. A text mining approach for anomaly detection in application layer ddos attacks. In FLAIRS Conference, pages {312-217}. AAAI, May 2017.
  9. C. Calvert, T. M. Khoshgoftaar, C. Kemp, and M. M. Najafabadi. A framework for capturing http get ddos attacks on a live network environment. In 23rd ISSAT International Conference on Reliability and Quality in Design, 7 pages, 2017.
  10. C. Calvert, T. M. Khoshgoftaar, M. M. Najafabadi, and C. Kemp. A procedure for collecting and labeling man-in-the-middle attack traffic. International Journal of Reliability, Quality and Safety Engineering, 24(1):19 pages, 2017.
  11. C. Calvert, T. M. Khoshgoftaar, C. Kemp, and M. M. Najafabadi. Detection of Slowloris Attacks Using Netflow Traffic. In 24th ISSAT International Conference on Reliability and Quality in Design, 2018.
  12. C. Calvert, T. M. Khoshgoftaar, and C. Kemp, “Predicting slow HTTP DoS attacks with severely imbalanced big data,” in ISSAT International Conference on Data Science and Intelligent Systems. ISSAT, 2019, pp. 1–6.
  13. C. Calvert, T. M. Khoshgoftaar, C. Kemp, and M. M. Najafabadi. Detecting Slow HTTP POST DoS Attacks Using Netflow Features. FLAIRS 2019