completed her Bachelor of Engineering (B.E.) from the Department of Computer Science and Engineering of M. P. Christian College of Engineering & Technology, Bhilai, in 2008 and her Master in Technology (M.Tech.) in 2013 from the Computer Science and Engineering of Chhatrapati Shivaji Institute of Technology, Durg, affiliated with Chhattisgarh Swami Vivekanand University, Bhilai, India. She was a lecturer at the CSIT, Durg, from June 2009 to June 2012. She held the position of Assistant Professor at that university from June 2012 to June 2015. She has also worked in several private organizations as senior faculty and including Kaushal Vikas Yojana run by central and state government within the duration 2015 to 2018. She worked towards her doctoral dissertation from July 2018 to November 2022 at the Indian Institute of Technology, Bhilai. Her research interests include Biometric Authentication Systems, IoT Security, Device Authentication, Cryptographic Protocol Design, Formal Verification, etc. She was a reviewer for the conference ANTIC-2021 organized by the Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. She attended several workshops, conferences, and FDPs during her Ph.D. She can be contacted at: ushak@iitbhilai.ac.in, ushakiranrajput14@gmail.com
About Faculty
Dr. Usha Kiran
| Employee ID | 10385 |
| Date of Joining | 01-03-2023 |
| Nature of Association | Regular |
| Department | Computer Science and Engineering |
| Designation | Assistant Professor |
| Educational Qualification | PhD (IoT Security), M. Tech (Computer Science & Engineering), B. E. (Computer Science) |
| ushakiran@bitdurg.ac.in | |
| Contact Number | 8319893226 |
Areas of Interest
Communication Protocol Design, Information Security, IoT Security, Biometric Authentication System
Publications
1. Usha Kiran. Comparative Analysis of Several RPL-Based Attacks and IDS to Detect the WPS Attack. Wireless Communication and Mobile Computing. 2023 [Under Review]
2 Usha Kiran, Rajat Moona, Santosh Biswas. Protocol to establish trust on biometric authentication devices. Security & Privacy, Wiley [Accepted]
3. Kiran, U. (2022, January). IDS To Detect Worst Parent Selection Attack In RPL-Based IoT Network. In 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 769-773). IEEE.
4. Thakur, P. S., Kiran, U., & Sahu, O. P. (2022). A Review on: Machine Learning Techniques to Mitigate Security Risks in IoT Framework State of the Art. Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2020, 671-679.
5. Kiran, U., & Yadav, O. (2013). Digital Image Inpainting Using Cellular Neural Network and Contour Tracking Using Run Length Coding. International Journal of Advanced Research in Computer and Communication Engineering, 2(1).
6. Mishra, P., Agarwal, S., & Kiran, U. (2013). Survey paper based on medical image segmentation and clustering techniques. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(12).
7. Mishra, P., Agarwal, S., & Kiran, U. (2014). A hybrid technique of medical image segmentation using DRLSE algorithm. KrishiSanskriti Publ, 1(5), 52-53.
Other Info.
Other Responsibilities:
One of the reviewer in International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2022). 22-24 December, 2022 Organized By the Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India.
Felowship/Awards/Other recognitions: