Work place: Department of Computer science and informatics, Central University of Himachal Pradesh, HP, India
E-mail: ajaykr.bhu@hpcu.ac.in
Website:
Research Interests:
Biography
Ajay Kumar is working as an Assistant professor in the Department of Computer Science and Informatics at Central University of Himachal Pradesh Dharamshala. He has 1.5 years industry and 9.5 years teaching experience. He is pursuing his Ph.D. from Central University of Jammu and received MCA and B.Sc. (H) degree from University of Delhi and Banaras Hindu University respectively. His research interest includes UAV, IoT, Blockchain Technology and Machine Learning. He was visiting fellow IIT Delhi and IIT Ropar. He has published numerous research papers in international journals and conferences. He has completed one minor project in the area of IoT having title “Make your life easy using smart switches”. He was a jury member of Smart India Hackathon software edition 2020 organized by Ministry of Education govt. of India. He recently got the best paper award at MISS2021. He is reviewer and program committee member of many international journals and conferences. He attended many conferences, FDP’s and workshops. He has organized many conferences and workshops. He is an active professional member of the ACM, IEEE and IAENG.
By Rajeev Kumar Kshitiz Singh Jainath Yadav Ajay Kumar Indranath Chatterjee
DOI: https://doi.org/10.5815/ijcnis.2025.01.05, Pub. Date: 8 Feb. 2025
The critical challenge with the continuously increasing number of Internet users is copying and duplication, which has caused content integrity and protection. To manage and secure the signals from unauthorized consumers of digital content, we require certain procedures. Digital watermarking scheme on vowel-based approach can address these problems. Thus, we can provide a robust and secure method that solves the issues of copyright, illegal intentional or unintentional modification. In this paper, we have proposed vowel-based speech watermarking techniques using the FFT method with the help of the Min algorithm. We observe that the proposed FFT-based watermarking scheme provides better results in comparison to the existing methods.
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