DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography

Abstract

The Internet of Everything (IoE) based cloud computing is one of the most prominent areas in the digital big data world. This approach allows efficient infrastructure to store and access big real-time data and smart IoE services from the cloud. The IoE-based cloud computing services are located at remote locations without the control of the data owner. The data owners mostly depend on the untrusted Cloud Service Provider (CSP) and do not know the implemented security capabilities. The lack of knowledge about security capabilities and control over data raises several security issues. Deoxyribonucleic Acid (DNA) computing is a biological concept that can improve the security of IoE big data. The IoE big data security scheme consists of the Station-to-Station Key Agreement Protocol (StS KAP) and Feistel cipher algorithms. This paper proposed a DNA-based cryptographic scheme and access control model (DNACDS) to solve IoE big data security and access issues. The experimental results illustrated that DNACDS performs better than other DNA-based security schemes. The theoretical security analysis of the DNACDS shows better resistance capabilities.

Graphical abstract

Keywords

IoE based cloud computing / DNA cryptography / IoE big data security / StS KAP / feistel cipher / IoE big data access

Ashish Singh is currently working as an Assistant Professor, School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, India. He completed his BE and MTech in Computer Science and Engineering in 2013 and 2015, respectively. The PhD degree has been received in Computer Science & Engineering from the National Institute of Technology Patna (Bihar), under Visvesvaraya PhD Scheme for Electronics & IT Ministry of Electronics & Information Technology (MeitY) Government of India in 2020. His research areas are cloud security, trust management, healthcare security, Internet of Things, access control, edge computing, and network security. He has published articles in different Journals, including Journal of Network and Computer Applications, ICT Express, Journal of Ambient Intelligence and Humanized Computing, Multimedia Tools and Applications, and others. He has also published many conference proceedings in prestigious international conferences

Abhinav Kumar is currently working as an Assistant Professor at Department of Computer Science and Engineering, Indian Institute of Information Technology Surat, India. He has obtained a PhD degree in Computer Science & Engineering from the Department of Computer Science and Engineering of the National Institute of Technology Patna, India. His research interests include machine learning, deep learning, crisis informatics, natural language processing, and social networks. He has published articles in different Journals, including Applied Soft Computing, Annals of Operation Research, IEEE IT Professional, IEEE Transactions of Industrial Informatics, Sustainable Cities and Society, Information Systems Frontiers, International Journal of Disaster Risk Reduction, and others

Suyel Namasudra is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, India, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received PhD degree in Computer Science and Engineering from the National Institute of Technology Silchar, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE and ACM. Dr. Namasudra has been featured in the list of top 2% scientists in the world in 2021 and 2022, and his h-index is 25

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