A novel cryptosystem using DNA sequencing and contextual array splicing system for Medical Internet of Things

Abstract In the modern world, there is a huge increase in the usage of various technologies which may produce heterogeneous data. Using the latest security algorithms like Triple Data Encryption Standard (TDES), Rivest Shamir Adleman (RSA), Advanced Encryption Standard (AES) these (heterogeneous) data are transferred over the internet. Despite of such good security mechanisms, there exist vulnerabilities to the user data. In the recent years, researchers started the usage of bio-inspired computing models towards security. In this paper, two such bio-inspired computing models namely splicing system and Deoxyribonucleic acid (DNA) sequencing were used. We proposed a novel cryptosystem using contextual array splicing system for DNA sequenced input data. In this process, we have designed Turing machine(s) that perform(s) the conversion of a binary input to DNA sequence and the cryptosystem operation using contextual array splicing system. Next, the developed novel cryptosystem is applied in the domain of Medical Internet of Things (MIoT). Further, we had investigated the proof of correctness. Next, the proposed cryptosystems are proved to be Turing computable. Finally, the security analysis and evaluation of the proposed cryptosystem has been studied.

[1]  Neeraj Kumar,et al.  Blockchain-Based Distributed Framework for Automotive Industry in a Smart City , 2019, IEEE Transactions on Industrial Informatics.

[2]  Jarkko Kari.  Observations Concerning a Public-Key Cryptosystem Based on Iterated Morphisms , 1989, Theor. Comput. Sci..

[3]  Bassam Al-Shargabi,et al.  Internet of Things: An exploration study of opportunities and challenges , 2017, 2017 International Conference on Engineering & MIS (ICEMIS).

[4]  T. Head.  Formal language theory and DNA: an analysis of the generative capacity of specific recombinant behaviors. , 1987, Bulletin of mathematical biology.

[5]  Peng Shi,et al.  Building an Open Cloud Virtual Dataspace Model for Materials Scientific Data , 2019 .

[6]  Raghavan Rama,et al.  Contextual array splicing systems , 1999, 6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268).

[7]  Saurabh Singh,et al.  Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city , 2020, Sustainable Cities and Society.

[8]  Fang Liu,et al.  Security and Privacy in the Medical Internet of Things: A Review , 2018, Secur. Commun. Networks.

[9]  Hiroshi Imai,et al.  A DNA-based Computational Model Using a Specific Type of Restriction Enzyme , 2002, DNA.

[10]  Sara Paiva,et al.  Enabling technologies and sustainable smart cities , 2020, Sustainable Cities and Society.

[11]  Tang Yue,et al.  Improved Advance Encryption Standard with a Privacy Database Structure for IoT Nodes , 2020, 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT).

[12]  Akhan Akbulut,et al.  LWE: An Energy-Efficient Lightweight Encryption Algorithm for Medical Sensors and IoT Devices , 2020 .

[13]  Yingnan Sun,et al.  Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey , 2019, IEEE Access.

[14]  Banani Saha,et al.  DNA Encoded Elliptic Curve Cryptography System for IoT Security , 2019 .

[15]  K. Chandrasekaran,et al.  A bio-inspired model to provide data security in cloud storage , 2016, 2016 International Conference on Information Technology (InCITe) - The Next Generation IT Summit on the Theme - Internet of Things: Connect your Worlds.

[16]  L. Adleman.  Computing with DNA , 1998 .

[17]  Jong Hyuk Park,et al.  Wearable Computing for Defence Automation: Opportunities and Challenges in 5G Network , 2020, IEEE Access.

[18]  Jack Parker.  Computing with DNA , 2003, EMBO reports.

[19]  Harsh Durga Tiwari,et al.  Novel Method for DNA-Based Elliptic Curve Cryptography for IoT Devices , 2018 .

[20]  B. R. Chandavarkar,et al.  Security issues and challenges in Healthcare Automated Devices , 2020, 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS).

[21]  Gheorghe Paun,et al.  DNA Computing: New Computing Paradigms , 1998 .

[22]  Bernhard Bauer,et al.  Safety and Security Architecture Analyses Framework for the Internet of Things of Medical Devices , 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).

[23]  Leïla Azouz Saïdane,et al.  PP-NDNoT: On preserving privacy in IoT-based E-health systems over NDN , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[24]  G. Paun,et al.  A new Cryptosystem based on Formal Language Theory , 2002 .

[25]  Jae Jung,et al.  User Authentication System based on Baseline-corrected ECG for Biometrics , 2018 .

[26]  Jarkko Kari.  A cryptanalytic observation concerning systems based on language theory , 1988, Discret. Appl. Math..

[27]  Arto Salomaa,et al.  On a Public-Key Cryptosystem Based on Iterated Morphisms and Substitutions , 1986, Theor. Comput. Sci..

[28]  Souad El Bernoussi,et al.  LCAHASH-MAC: A new lightweight message authentication code using cellular automata for RFID , 2017, 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM).

[29]  Mohammed Misbahuddin,et al.  DNA Cryptography for Secure Data Storage in Cloud , 2018, Int. J. Netw. Secur..