Ms. Nighat Usman
Category: Faculty
Published on: August 1, 2022
Last updated on September 5th, 2022
Personal Information
Name Nighat Usman
Email nighat.buic@bahria.edu.pk
Phone 9260002 ext 1341
Research Area Information Security, Machine Learning, Data Mining, IoT
Number of Publications Conferences = 01,Journals = 05
Affiliation
Designation Senior Lecturer
Department Computer Science
University Bahria University Islamabad Campus
Qualification
Degree Passing Year Majors University
Masters (Information Security) 2017 Information Security, Machine Learning, Data Mining COMSATS University, islamabad
BS(Software Engineering) 2013 Software Engineering FJWU, Rwp
Teaching Experience
Designation From To Organization
Senior Lecturer Sep 2022 Date Bahria University, Islamabad, Pakistan
Sep 2022 Bahria University, Islamabad, Pakistan
Publications

Journals:

Sr. #
1 Usman, N., Usman, S., Khan, F., Jan, M.A., Sajid, A., Alazab, M. and Watters, P., 2021. Intelligent dynamic malware detection using machine learning in IP reputation for forensics data analytics. Future Generation Computer Systems, 118, pp.124-141.
2 Sajid, A., Usman, N., Khan, I., Usman, S., Mirza Mehmood, A., Malik, M.S.A. and Rana, J.M., 2020. Artificial Intelligence based rule base fire engine testing model for congestion handling in opportunistic networks. Measurement and Control, 53(9-10), pp.1841-1850.
3 Usman, N., Alfandi, O., Usman, S., Khattak, A.M., Awais, M., Hayat, B. and Sajid, A., 2020. An energy efficient routing approach for IoT enabled underwater wsns in smart cities. Sensors, 20(15), p.4116.
4 Khan, S., Akram, A. and Usman, N., 2020. Real time automatic attendance system for face recognition using face API and OpenCV. Wireless Personal Communications, 113(1), pp.469-480.
5 Usman, N., Javaid, Q., Akhunzada, A., Choo, K.K.R., Usman, S., Sher, A., Ilahi, M. and Alam, M., 2017. A novel Internet of Things-centric framework to mine malicious frequent patterns. IEEE Access, 7, pp.133914-133923.

Conferences:

Sr. #
1 Shah, A.A., Usman, N., Waqar, J. and Saeed, H., 2019, November. An Efficient Machine Learning Prediction Based Model for Intrusion Detection. In 2019 International Conference on Innovative Computing (ICIC) (pp. 1-6). IEEE.