Design Of A Conceptual And Secure Blockchain Security Framework For Building Trustable Digital Relationship

Abstract

A blockchain is a secured, shared, and distributed ledger that facilitates the process of newlinerecording and tracking resources without the need for a centralised, trusted authority. It allows newlinetwo parties to communicate and exchange resources in a peer-to-peer network where newlinedistributed decisions are made by the majority rather than by a single centralised authority. newlineDistributed ledger technologies in blockchain systems have in recent years emerged as newlinepromising platforms for machine-to-machine commerce applications. At the time of writing, newlinethe blockchain ledger required very high memory, nearly 395 gigabytes of permission-less newlinesystem. So, any accepted activity by any participant will likely lead to an increase in ledger newlinesize. On the other hand, permissioned systems assume that ledgers can only be replicated within newlineclosed groups of known participants. This may lead to ledgers being smaller, but could also newlinemean that many ledgers are maintained at the same time. To overcome these drawbacks, the newlineproposed method is developed in this work for reducing ledger size in blockchain systems newlinebased on Energy Efficient Optimal Transaction Selection and Elimination (EEOTSE). The newlineEEOTSE approach minimises energy use and maximises the efficiency of the blockchain newlineframework. Furthermore, several attacks, such as the 51% attack, double-spend, and selfish newlinemining attack, affect block chain security. To prevent these attacks, the proposed method is newlineintroduced in this work, named the BLCMAShield Approach. BLCMAShield provides high newlinesecurity with lower execution time than the other existing approaches. Attack detection rate, newlineerror rate, execution time, and energy consumption are used for analysing the performance of newlineBLCMAShield and EEOTSE. In addition, this research has adopted anomaly detection on newlineblockchain using the support vector machine(ABOSVM) method to detect and prevent threats newlinein each transaction in distributed ledgers. The experimental results show that the newlineBLCMAShield, EEOTSE, and ABOSVM provide the best results compared to existing newlineapproaches. newline