Techniques for Cybersecurity and Privacy Protection in IoT Networks

Authors

  • Navaneethan M. Research Scholar Department of Banking Technology Pondicherry University Puducherry
  • Yugendra Devidas Chincholkar Associate Professor Electronics & TelecommunicationSinhgad College of Engineering Pune, off Sinhgad Road, Vadgaon (Bk), Pune Pincode-411041 District-Pune State-Maharashtra India
  • Anand Prakash Dube Associate Professor, Computer Science, School of Management Sciences Varanasi Uttar Pradesh
  • Mohit Tiwari Assistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, Delhi A-4, Rohtak Road, Paschim Vihar, Delhi

Keywords:

ledger integration, deep learning, information security, safeguarding confidentiality, and the Internet of Things

Abstract

Maintaining the confidentiality and safety of sensitive data grows critical as the Web of Things (IoT) continues to permeate several industries. In order to protect sensitive data in connected devices, this study offers a thorough architecture that includes cryptographic methods, adaptive protection measures, as well as privacy-preserving tactics. The paper presents neural network-based anomaly detection, demonstrating the effectiveness of dynamic defenses in adapting to changing threats with a precision of 0.92 and a recall of 0.88. Advanced Encryption Standard (AES) and RSA algorithms are two examples of encryption gets closer that show efficiency with an encrypting overhead of 2.5 ms for AES and 4.0 ms for RSA. With 99.8% constancy rate across 100 blocks, integrating blockchain technology keeps the unbreakable ledger very consistent.Data utility and confidentiality for individuals are weighed by privacy-preserving methods like homomorphic digital encryption and distinct confidentiality, as shown by allowable distorting levels in the average squared error study. The proposed framework's particular strength lies in its integration of adaptations with blockchain technology as well as cryptography, as demonstrated by comparisons with prior work. By addressing issues with practical deployment and offering insightful information for next advancements, the study makes a useful contribution to the rapidly developing field of IoT security. By guaranteeing the safety, reliability, and privacy of communicated data in the ever-changing world of Internet of Things networks, this investigation paves the way for a reliable and durable linked world.

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Published

24.03.2024

How to Cite

M., N. ., Chincholkar, Y. D. ., Dube, A. P. ., & Tiwari, M. . (2024). Techniques for Cybersecurity and Privacy Protection in IoT Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(18s), 130–137. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4958

Issue

Vol. 12 No. 18s (2024)

Section

Research Article

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