Stegovideo: An Efficient Mechanism for Securing Video Data Using Steganography and Cryptography Techniques

Keywords: Video Streaming, RSA, Steganography, Security, Internet

Abstract

The COVID-19 pandemic episodes have rapidly expanded multimedia systems utilization across the globe. Nowadays, practically all companies and educational systems rely predominantly on streaming platforms. Owing to the popularity of online streaming; it is crucial to secure video. Although, a few techniques have been deployed to guarantee secured video transmission. Nonetheless, the recent usage of video applications due to the pandemic poses more security risks such as losing sensitive video content to intruders. In this paper, a hybrid framework (named Stego Video) is proposed for securing video information by consolidating the best components of RSA encryption and LSB steganography procedures. This strategy guarantees that videos with sensitive information are imperceptible by intruders because the encoded video is introduced in the form of images and is converted back to videos when decrypted. Our experimental results revealed that Stego Video is a proficient method for securing video content on the Internet.

Author Biographies

Oluwafolake E. Ojo, Federal University of Agriculture, Abeokuta

Dr. Oluwafolake E. Ojo is a Senior Lecturer in the Department of Computer Science at the Federal University of Agriculture, Abeokuta, Nigeria. She received a B.Sc. degree in Computer Science from Olabisi Onabanjo University, Nigeria in 2007. She also obtained an M.Sc. degree and a PhD degree in Computer Science from Obafemi Awolowo University, Nigeria in 2012 and 2017 respectively. She was a research scholar at IMT Atlantique, France in 2017. She is a recipient of the 2021 Young Research Award of the 8th Heidelberg Laureates Forum Foundation (HLF). She is a member of the Nigeria Computer Society, ACM, ACM-W, Oracle Academy and a member of the HLF AlumNode. She received the Faculty Scholarship award for the virtual component of the Grace Hopper Celebration in 2022. She is a co-investigator in three funded research projects and her research interests include computer networks, multimedia computing, Internet-of-Things and Intelligent systems. She has published widely in international journals of high repute and served as a reviewer for reputable journals and conference proceedings.

Mrs. Morenike K. Kareem, Federal University of Agriculture, Abeokuta, Nigeria

Mrs Morenike K. Kareem received her BSc. and MSc. degrees in 2016 and 2021 respectively, in Computer Science from the Federal University of Agriculture, Abeokuta, Nigeria. She is currently undergoing her PhD programme in computer science. Her research interest includes artificial intelligence and cybersecurity. She is currently an Assistant lecturer in the Department of Computer Science at the Federal University of Agriculture, Abeokuta, Nigeria.

Ibrahim K. OGUNDOYIN, Osun State University

Dr. Ibrahim K. OGUNDOYIN is a Senior lecturer in the Department of Computer Science, Osun State University, Osogbo, Nigeria. He bagged his B.Sc. Computer Science from the University of Ilorin, Master of Science (MSc) and Doctor of Philosophy (PhD) in Computer Science from Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests include Computing, Intelligent System Design and Computer Network Security. Dr. Ogundoyin is a seasoned Computer Scientist and has contributed immensely through research and teaching in his field. He is the current Acting Head of Department of Computer Science, Osun State University, Osogbo. He is teaching Computer Science courses and also supervising students both at undergraduate and postgraduate levels at the
University. He has published academic articles in reputable Journals and has attended
many conferences and workshops both locally and internationally.

Olufunke A. Oyinloye, University of Ilesa

Mrs. Olufunke A. Oyinloye is a Lecturer in the Department of Computer Science, University of Ilesa, Ilesa. She received her Bsc. in Computer Science from Ladoke Akintola University of Technology, Ogbomoso (LAUTECH), and Msc. degree in Computer Science from the Obafemi Awolowo University, Ile- Ife (OAU). She is currently undergoing her PhD programme in Computer Science. Her research interests include artificial intelligence and information systems.

Oluwapelumi L. Ikumpayi, Department of Computing, University of Ilesa, Ilesa, Osun State, Nigeria.

Miss Oluwapelumi L. Ikumpayi obtained BSc. Degree in Computer Science in 2021 from the Federal University of Agriculture, Abeokuta, Nigeria. Her collaboration with Mentors on Computer Network Security has helped model her work ethic. She also shared a deep interest in the applications of Artificial Intelligence and cybersecurity.

Published
2024-06-28
How to Cite
Ojo, O., Kareem, M., OGUNDOYIN, I. K., Oyinloye, O., & Ikumpayi, O. (2024). Stegovideo: An Efficient Mechanism for Securing Video Data Using Steganography and Cryptography Techniques. Journal of Science and Technology, 42(2), 50 - 63. https://doi.org/10.4314/just.v42i2.1554
Section
Articles