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Secure Data Sharing with Interplanetary File System for Pharmaceutical Data

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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

Part of the book series: Studies in Computational Intelligence ((SCI,volume 972))

Abstract

Growth of Internet Technology signs Internet of Things as fourth Industrial Revolution. It enables communication between devices without the support of human. Embedded devices with Smart Sensor extract data from external environment and perform actuation according to the application. In spite of obtaining time driven data, this technology has downfalls due to various security issues as it relays on wireless technology for device communication. Hence it demands security solution to address this problem. This paper investigates the security flaws encountered in pharmaceutical supply chain. This study analyzes the problem with existing system in counterfeiting data tampering and user privacy for secure exchange of user data. Data security is improved with Block Chain adoption where Interplanetary File System (IPFS) is used here to enable tamper proof data storage and data retrieval. Cryptographic Smart Contracts for Device Authentication and User Access control scheme are written in Solidity Language and executed on Remix IDE. Transaction and Execution cost are evaluated for Advanced Encryption Standard (AES) algorithm and Rivest-Shamir-Adelman (RSA) algorithm in terms of ether as gas consumption unit. Artificial Intelligence (AI) is used here to forecast demand production with accurate supply chain information from Block chain without fraudulent activity. Regression analysis is performed and evaluated with metrics as mean square error (MSE), root mean square error (RMSE) and R-squared value on three regression models such as Long-Short Term Memory (LSTM), Ordinary Least Square (OLS) and Decision Tree. From the study it is found that LSTM outperforms other models with MSE value of 0.375 whereas OLS and Decision Tree outputs with 1.375 and 2.58 MSE respectively. Integration of AI with Block Chain provides business solution against data tampering in supply chain process.

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Acknowledgements

The author acknowledges School of Computing, Kalasalingam Academy of Research and Education, Tamilnadu, India for keen encouragement in doing research activity.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamilnadu, India

    Nesarani Abraham & Ramalakshmi Ramar

Authors
  1. Nesarani Abraham
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  2. Ramalakshmi Ramar
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Editor information

Editors and Affiliations

  1. Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Vellore Institute of Technology, Chennai, Tamil Nadu, India

    Amit Kumar Tyagi

Appendix

Appendix

See Table 8.

Table 8 Review of literature studied
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Abraham, N., Ramar, R. (2021). Secure Data Sharing with Interplanetary File System for Pharmaceutical Data. In: Misra, S., Kumar Tyagi, A. (eds) Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities. Studies in Computational Intelligence, vol 972. Springer, Cham. https://doi.org/10.1007/978-3-030-72236-4_11

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