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Research Projects

Students are involved in various faculty-led security projects at the Cybersecurity Center. Students can work upto 20 hours and are paid hourly stipend. CMU faculty mentor and guide students in reesarch and projects at an undergraduate level. Some projects have clients involving local and regional businesses.

Research Areas

Some of the research areas faculty and students have been involeved with are: Applied Machine learning in the security topics such as Intrusion Detection System, Malicious URLs, Tor and Deep net, etc.

Research Publications

Following are some of the selected publications invloving undergraduate students at the Cybersecurity Center.

  1. Application of Deep Learning on the Charaterization of Tor Traffic using Time based Features
    C. Johnson, B. Khadka, E. Ruiz., J. Halladay, T. Doleck, and R. Basnet
    JISIS - Journal of Internet Services and Information Security, pp. 44-63, Vol. 11, No. 1, March, 2021
  2. Towards Detecting and Classifying Malicious URLs Using Deep Learning
    C. Johnson, B. Khadka, R. B. Basnet, and T. Doleck
    Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 11(4):31-48, Dec. 2020 DOI:10.22667/JOWUA.2020.12.31.031
  3. Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks
    R.B. Basnet, R. Shash, C. Johnson, L. Walgren, and T. Doleck
    Journal of Internet Services and Information Security, Vol. 9, No. 4, pp. 1-17, Nov. 2019
  4. Examining the Relationship between Threat and Coping Appraisal in Phishing Detection among College Students
    D.J. Lemay, R.B. Basnet, and T. Doleck
    Journal of Internet Services and Information Security, Vol. 10, No. 1, pp. 38-49, Mar. 2020