Nikhil Gondaliya

Work place: Department of Information Technology, GCET Engineering College, V.V. Nagar, Anand, Gujarat 388120, India

E-mail: nikhilgondaliya@gcet.ac.in

Website:

Research Interests: Wireless Networks, Data Mining, IoT

Biography

Dr. Nikhil Gondaliya is an experienced academic professional, currently serving as a Professor and Head of the Department of Information Technology. He holds a Ph.D. in Computer Engineering from Gujarat Technological University and a master’s degree in computer engineering from Sardar Patel University. With a teaching experience of 18+ years at the undergraduate and postgraduate level, Dr. Gondaliya has established himself as a knowledgeable educator.
His research contributions include over 20 published papers in national and international conferences and journals. Dr. Gondaliya has also successfully supervised numerous undergraduate projects and postgraduate dissertations. His areas of specialization include Adhoc Wireless Networks, Data Mining, and Internet of Things (IoT). With expertise in wireless adhoc networks, IoT, and data mining, Dr. Gondaliya continues to make valuable contributions to the field of Information Technology.

Author Articles
A Secure Network for Streamlined and High-Performance Consensus Algorithm based on Blockchain Technology

By Deven A Gol Nikhil Gondaliya

DOI: https://doi.org/10.5815/ijwmt.2023.05.02, Pub. Date: 8 Oct. 2023

The blockchain technology has been widely adopted for various applications due to its decentralization, transparency, and security features. Consensus algorithms, such as Proof of Work (PoW) and Proof of Stake (PoS), are fundamental components of blockchain technology, ensuring the integrity and validity of the blockchain network. However, the current consensus algorithms face challenges such as scalability, energy consumption, and security threats. To address these challenges, a new secure network for streamlined and high-performance consensus algorithm based on blockchain technology has been proposed. This new network incorporates the advantages of PoW and PoS, resulting in a hybrid consensus algorithm that is more efficient and secure than the existing algorithms. Additionally, the new network utilizes a dynamic sharding mechanism to improve scalability, reducing the overall processing time of transactions. The simulation results help identify potential vulnerabilities and inefficiencies in the consensus algorithm. Optimal combinations of block interval and propagation delay are determined based on specific use cases, balancing high throughput with security and consensus stability. The study also validates the security of Proof-of-Work (PoW) by comparing the fraction of generated blocks with the expected blocks based on miners' hashing power. This study establishes a foundation for future improvements in consensus algorithms, contributing to their evolution and facilitating the implementation of blockchain applications in various domains such as finance, healthcare, supply chain management, and more. The proposed solution aims to provide a more robust and efficient blockchain platform that can handle a higher volume of transactions while maintaining its security features.

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