International Journal of Computer Networks and Applications (IJCNA)

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ISSN : 2395-0455

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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Device-to-Device (D2D) Wireless Communication Using Blockchain and Onion Routing

Author NameAuthor Details

Kiran Bhavlal Jadhav, Manoj Kumar Nigam, Sagar Bhilaji Shinde, Lalitkumar Wadhwa,Pramod Patil

Kiran Bhavlal Jadhav[1]

Manoj Kumar Nigam[2]

Sagar Bhilaji Shinde[3]

Lalitkumar Wadhwa[4]

Pramod Patil[5]

[1]Department of Electronics Engineering, Kalinga University, Raipur, Chhattisgarh, India.

[2]Department of Electronics Engineering, Kalinga University, Raipur, Chhattisgarh, India.

[3]Department of Computer Science and Engineering, Nutan Maharashtra Institute of Engineering and Technology, Pune, India.

[4]Department of Computer Science and Engineering, Ajeenkya DY Patil University, Lohegaon, Pune, Maharashtra, India.

[5]Department of Computer Science and Engineering, Dr. D. Y. Patil Institute of Institute of Technology, Pimpri, Pune, India.

Cite this Article

DOI: 10.22247/ijcna/2025/14

Pages : 208-226

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Abstract

Device-to-device (D2D) communication has emerged as a critical technology in modern wireless networks, enabling efficient and cost-effective data exchange. However, its decentralized nature poses significant security and privacy challenges. This research proposes a novel methodology, Blockchain-based Onion Routing (BbOR) with Deep Convolutional Neural Networks (DCNN), to enhance the security, privacy, and robustness of D2D communication systems. Blockchain ensures data integrity and trustworthiness by maintaining an immutable, tamper-resistant ledger of encrypted tokens and messages. Onion routing adds a layer of privacy by anonymizing the communication path through multiple layers of encryption. The integration of Deep CNN for attack prediction enhances the system's ability to proactively detect and mitigate security threats, by analyzing token behavior and Blockchain transaction patterns. The proposed framework was validated using the Wireless Sensor Network Data Set (WSNDS), where data preprocessing, cryptographic token generation, secure routing, and attack detection mechanisms were systematically implemented. Results demonstrate the efficiency of the BbOR-Deep CNN system in providing robust security and privacy for D2D communication, making it suitable for applications in IoT, healthcare, and finance.

Index Terms

D2D Communication

Blockchain

Secure Routing

Privacy-Preserving Communication

Onion Routing

Deep Convolutional Neural Networks

Deep Learning-Based Attack Detection

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