Big Data Security Using RSA Algorithms in A VPN Domain

Big Data security using encryption algorithms has become imperative due to the increased reliance on the volume, velocity, veracity, and value of data that organizations require to manage business processes, information sharing, and vulnerabilities that can be exploited. VPN tunneling ensures the confidentiality of data transmission over the network and remains secure from unauthorized parties. Big Data security within a VPN environment using RSA encryption to secure the data traversing between the established VPN tunnel. However, recent attacks on Big Data such as Man-in-the-middle, Evil twin attacks, DNS cache poisoning, phishing, injection, and DoS attacks, among others, have impacted greatly on organizations, leading to financial losses, data breaches, reputational damage, litigation issues, and trust. This paper explores how Big Data Security uses the RSA Algorithms in the VPN environment to establish secure tunneling and enhance security. The contribution of this paper is threefold. The foremost objective is to explore existing literature and state of the art to identify and analyze the prevalent Big Data challenges, threats, risks, and vulnerabilities that can compromise Big Data. In addition, we would compare encryption algorithms, such as AES, RSA, and DES, to determine secure features and relevance during data transmission in a VPN environment. Furthermore, we implement a VPN tunnel and encrypt the end-to-end network infrastructure for configuration and to secure the data traversing the network. Finally, we recommend security mechanisms to improve Big Data security in a VPN environment. The results highlight issues of improper data storage, inadequate authentication, and insufficient data protection mechanisms; it also discusses examples of Big Data security challenges and how RSA encryption could improve security on the VPN.