Scaling Up Security and Efficiency in Financial Transactions and Blockchain Systems

Abstract

Blockchain, the underlying technology powering the Bitcoin cryptocurrency, is a distributed ledger that creates a distributed consensus on a history of transactions. Cryptocurrency transaction verification takes substantially longer than it does for conventional digital payment systems. Despite blockchain’s appealing benefits, one of its main drawbacks is scalability. Designing a solution that delivers a quicker proof of work is one method for increasing scalability or the rate at which transactions are processed. In this paper, we suggest a solution based on parallel mining rather than solo mining to prevent more than two miners from contributing an equal amount of effort to solving a single block. Moreover, we propose the idea of automatically selecting the optimal manager over all miners by using the particle swarm optimization (PSO) algorithm. This process solves many problems of blockchain scalability and makes the system more scalable by decreasing the waiting time if the manager fails to respond. Additionally, the proposed model includes the process of a reward system and the distribution of work. In this work, we propose the particle swarm optimization proof of work (PSO-POW) model. Three scenarios have been tested including solo mining, parallel mining without using the PSO process, and parallel mining using the PSO process (PSO-POW model) to ensure the power and robustness of the proposed model. This model has been tested using a range of case situations by adjusting the difficulty level and the number of peers. It has been implemented in a test environment that has all the qualities required to perform proof of work for Bitcoin. A comparison between three different scenarios has been constructed against difficulty levels and the number of peers. Local experimental assessments were carried out, and the findings show that the suggested strategy is workable, solves the scalability problems, and enhances the overall performance of the blockchain network.

Enhancing blockchain scalability with snake optimization algorithm: a novel approach

“…In contrast to the PSO-POW model delineated in the first piece of related work (Saqib and AL-Talla, 2023), which advocates for a parallel mining approach in combination with the Particle Swarm Optimization (PSO) algorithm, our work with the Snake Optimization Algorithm highlights a marked departure. While the PSO-POW model is concentrated on selecting an optimal manager among miners and conducting parallel mining to expedite transaction verification, our SOA-based methodology is singularly focused on optimizing sharding numbers, thus providing a direct, impactful measure to mitigate transaction latency.…”

“…In the context of enhancing blockchain's transaction verification speed, one noteworthy approach employs optimization algorithms to manage computational resources more efficiently. In particular, a strategy that pivots around the utilization of parallel mining, introduced in a seminal paper (Saqib and AL-Talla, 2023), reflects a concerted effort to boost transaction processing speeds. The proposed Particle Swarm Optimization Proof of Work (PSO-POW) model articulates a framework whereby miners engage in parallel rather than solo mining, strategically reducing the time and computational power expended per verified transaction.…”

Implementation of Recency, Frequency, and Monetary Patterns in Adaptive Blockchain-Based Transactions

“…Through the parallel mining concept offered by this research, it is claimed that miners do not need to scramble to solve the hash of a block because there will be several blocks that miners can solve together. Different or known as multi-miners [36]. The selection of miners to perform parallel processing is carried out by the manager of a node group.…”