Multimedia Authentication Through Digital Tattooing Scheme at IoT Perception Layer for Smart City

Abstract

The move to a digital environment, where consumers may utilise, process, store, and transfer their data, has occurred in recent years. Furthermore, the quick and ongoing evolution of the Internet of Things (IoT) has resulted in a massive increase in the utilisation of digital signals and images. The Internet of Things (IoT) is a huge and varied network of connected devices, everyday objects, and gadgets that can communicate with one another over the Internet. The Internet of Things has a lot of potential to become a part of everyday life and improve people’s lives. In recent decades, digital tattooing has been offered as a great way to handle numerous elements of IoT security. This technology works by embedding a digital signal called a digital tattoo into another digital signal called a host signal, which can be text, image, audio, or video. The principle of this approach is to detect changed pixels using the Cyclic Redundancy Check (CRC) code. The CRC is a data integrity check that is both powerful and simple to use. It is the most used method of mistake detection in telecommunications. For these reasons, it has been used in the context of the fragile tattoo to determine whether or not the picture has been altered. The experimental results show that the proposed schemes perform well in contrast to the existing scheme and use traditional evaluation criteria, proving that the new scheme is distinctive.

KEYWORDS:

• Authentication
• CRC
• Data protection
• Digital tattoo
• Internet of Things (IoT)
• Watermark

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Department of Science and Technology – Science and Engineering Research Board (DST-SERB), Govt. of India under the research project entitled “Fake Image and News Detection on Social Media Through Trustware Based Community Portal”. (No-EEQ/2019/000317). The authors are thankful to the Vidyasagar University for providing infrastructural facilities required for carrying out the project.

Notes on contributors

Sharmistha Halder Jana

Sharmistha Halder Jana graduated from Calcutta University and postgraduated from Vidyasagar University. She also completed an MCA course from NSOU, West Bengal. She received a PhD from the National Institute of Technology, Durgapur, West Bengal, India under the supervision of Prof Goutam Panigrahi, NIT, Durgapur, Dr Barun Das, SKBU, Purulia and Prof Manoranjan Maiti, Vidyasagar University, Midnapore, West Bengal, India. She is working as a faculty member of the Department of Mathematics, Midnapore College [Autonomous], West Bengal, India. She has published several international journals and conference papers. Her current research interests include the transportation problems, supply chain management, inventory problems and travelling salesman problems. Email: [email protected]

Biswapati Jana

Biswapati Jana is currently working as an associate professor in the Department of Computer Science, Vidyasagar University, Paschim Medinipur, India. He received his BTech and MTech degrees in computer science and engineering from the University of Calcutta. He completed his PhD at Vidyasagar University. His research interest includes image processing, steganography, data hiding, watermarking, transportation problems, etc. He has published more than eighty papers in national and international journals and conferences.

Tzu Chuen Lu

Tzu-Chuen Lu received a BM degree (1999) and MSIM degree (2001) in information management from Chaoyang University of Technology, Taiwan. She received her PhD degree (2006) in computer engineering from National Chung Cheng University. She is now a professor in the Department of Information Management at the Chaoyang University of Technology. Her research interest includes data hiding, watermarking, and image processing. Email: [email protected]