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Securing healthcare big data in industry 4.0: cryptography encryption with hybrid optimization algorithm for IoT applications

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Abstract

In recent years, the Internet of Things (IoT) has grown at an exponential rate, transforming the healthcare business and perhaps leading to the creation of healthcare big data. As a result, there is a requirement to safeguard data from being attacked in order to ensure secure data transfer through the network. Cryptography has been discovered to be a simple and efficient method for safeguarding healthcare big data. At the same time, in cryptography, the best key generation process is viewed as an optimization issue that may be addressed with meta-heuristic algorithms. As a result, the main focus of this research is on the investigation of health care data security in IoT using the ASS-JFO-DHEA model, which combines an innovative hybrid Artificial Shuffle Shepherd Integrated Jellyfish optimization (ASS-JFO) algorithm with Digital Homomorphism Elgamal Algorithm (DHEA) encryption for data security. MATLAB software is used to carry out the execution and experiments for this research. On different benchmark images from a healthcare dataset, the ASS-JFO-DHEA model is experimentally validated. The peak signal to noise ratio, root mean square error, encryption time, mean square error, and other metrics are used to assess the findings.The findings are compared and contrasted as a consequence of this execution, and a variety of encryption algorithms with their optimization techniques from the literature are recognized as having the most intense PSNR values, i.e., 74 dB, generated by the suggested approach.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, School of Computing, MIT ADT University, Pune, Maharashtra, India

    Chandrashekhar Goswami

  2. School of Computing Science and Engineering, Rajalakshmi Engineering College, Mevalurkuppam, India

    P. Tamil Selvi

  3. Department of Computer Science and Engineering, SRK Institute of Technology, Vijayawada (A.P), India

    Velagapudi Sreenivas

  4. Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India

    J. Seetha

  5. Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, Telangana, India

    Ajmeera Kiran

  6. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist(A.P), India

    Vamsidhar Talasila

  7. Department of CSE, KG Reddy College of Engineering and Technology, Chilukuru Village, Telangana, India

    K. Maithili

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  1. Chandrashekhar Goswami
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  2. P. Tamil Selvi
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Contributions

Securing Healthcare Big Data in Industry 4.0: Cryptography Encryption with Hybrid Optimization Algorithm for IoT Applications Chandrashekhar Goswami1 , P. Tamil Selvi2 , Velagapudi Sreenivas3 , J.seetha4 , Ajmeera Kiran5 , Vamsidhar Talasila6 , K.Maithili7 1Department of Computer Science and Engineering, Amity University, Gwalior, India. 2School of Computing Science and Engineering ,Rajalakshmi Engineering College, India. 3 Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology Ganguru Vijajayawada, India. 4Department of Computer Science & Engineering, Panimalar Engineering College,India 5 Department of Computer Science & Engineering, MLR Institute of Technology, Dundigal, Hyderabad, Telangana,. India 6Dept.of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram ,India. 7Department of CSE ,KG Reddy College of Engineering and Technology ,Chilukuru village ,Telangana,India chandrashekhargoswami.cse@gmail.com *1 , tamilselvi.p@rajalakshmi.edu.in2 , velagapudisreenivas@gmail.com3 , jsvpec@gmail.com4 , kiranphd.jntuh@gmail.com5 , vamsi@kluniversity.in6 , drmaithili@kgr.ac.in7 Chandrashekhar Goswami : Idea conceptualization, correspondence P.Tamil Selvi : Algorithm specialization Velagapudi Sreenivas :Validation of the results, J.seetha :Writing original draft Ajmeera Kiran : Editing Vamsidhar Talasila :Data collection, validation K.Maithili :Big Data in Industry 4.0 related work & Reviewing .

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Correspondence to Chandrashekhar Goswami.

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Goswami, C., Tamil Selvi, P., Sreenivas, V. et al. Securing healthcare big data in industry 4.0: cryptography encryption with hybrid optimization algorithm for IoT applications. Opt Quant Electron 56, 366 (2024). https://doi.org/10.1007/s11082-023-05672-1

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