Blockchain Integrated with Principal Component Analysis: A Solution to Smart Security against Cyber-Attacks

Abstract

Digitalization of financial institutes, industries, and organizations to provide fast online services needs a large number of Internet connections and different types of networks. The presence of a large number of digital networks makes operational communication and data transfer vulnerable to different cyber-attacks. So, to secure the system, there must be a mechanism present to detect malicious activities and give an alarm to the operator/HMI. A numerous intrusion detection system is present in this era but still, the intruders get access to the network and create an economical loss. Blockchain is a new path to gain the trust in the cyber-security field. Researchers have been working on the term “blockchain technology” for the past few years. In a growing digital environment, blockchain is a novel technology that provides various advantages. This paper identifies and examines the possible way to enhance the blockchain capability by integrating with principal component analysis (PCA). The bad data are removed from the real-time data set and then pass through the blockchain mechanism to identify the threats. The results of the investigation and analysis demonstrate that, when compared to the traditional approach, the PCA integration with the blockchain method proposed in this paper may reduce detection time and boost detection rate.