An adaptive learning model for secure data sharing in decentralized environments ‎using blockchain technology

Authors

  • Thupakula Bhaskar Department of CSE, Sanjivani College of Engineering, Savitribai Phule Pune University, Maharashtra , India
  • Hema N Department of ISE, RNS Institute of Technology, Bangalore, Karnataka, India
  • R. Rajitha Jasmine Department of CSE, R.M.K. Engineering College, Kavaraipettai, Tamil Nadu, India
  • Pearlin Department of English, Panimalar Engineering College, Chennai, Tamil Nadu, India
  • Uma Patil Department of CSE, PCET'S & NMVPM'S Nutan College of Engineering and Research, Pune, Maharashtra, India
  • Madhava Rao Chunduru Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • P. Saravanan Department of ECE, Sri Sairam Institute of Technology, Chennai, Tamil Nadu, India
  • Venkatesh ‎Kanna T Department of ECE, Velammal College of Engineering and Technology, Madurai, Tamil Nadu,
  • R. G. Vidhya Department of ECE, HKBK College of Engineering, Bangalore, India

How to Cite

Bhaskar , T. ., N, H. ., Jasmine , R. R. ., Pearlin, Patil , U. ., Chunduru, M. R. . ., Saravanan , P. ., T, V. ‎Kanna ., & Vidhya , R. G. . (2025). An adaptive learning model for secure data sharing in decentralized environments ‎using blockchain technology. International Journal of Basic and Applied Sciences, 14(1), 216-221. https://doi.org/10.14419/9f4z3q54

Received date: March 21, 2025

Accepted date: April 30, 2025

Published date: May 7, 2025

DOI:

https://doi.org/10.14419/9f4z3q54

Keywords:

Blockchain Technology; Decentralized Systems; Data Security; Adaptive Learning; Cloud Computing; Edge Computing

Abstract

Blockchain technology has rapidly emerged as a vital skillset, reshaping digital infrastructure with its decentralized, transparent, ‎and secure characteristics. These core features have driven its integration across various industrial applications, establishing it as ‎a foundation for modern computing paradigms such as cloud and edge computing. Recognizing this potential, the present study ‎introduces a novel and disruptive approach utilizing an adaptive learning model to enhance security within data-sharing ‎ecosystems through decentralized access control mechanisms. The proposed framework was implemented using Python and ‎rigorously evaluated through experimentation. A comprehensive performance analysis compared the proposed ‎Adaptive Learning Model (ALM) against conventional cryptographic techniques, specifically RSA and AES algorithms. ‎Multiple performance metrics were analysed, and the outcomes demonstrated that the proposed method significantly improves security, scalability, and processing time‎.

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How to Cite

Bhaskar , T. ., N, H. ., Jasmine , R. R. ., Pearlin, Patil , U. ., Chunduru, M. R. . ., Saravanan , P. ., T, V. ‎Kanna ., & Vidhya , R. G. . (2025). An adaptive learning model for secure data sharing in decentralized environments ‎using blockchain technology. International Journal of Basic and Applied Sciences, 14(1), 216-221. https://doi.org/10.14419/9f4z3q54

Received date: March 21, 2025

Accepted date: April 30, 2025

Published date: May 7, 2025