End-to-End Encryption and Authentication Strategies for Cloud Data Security
Srinivas Cheekati, Chandrakanth Reddy Borra, Naveen Kannam, Vandana Roy
Abstract
This paper outlines a detailed approach towards improving cloud data security based on integrated end to end encryption (E2EE) and multi-factor authentication (MFA) policies. The model suggested provides security in the form of confidentiality, integrity, and user verification in the transmission and storage of data in cloud environments. A hybrid encryption algorithm, which is a combination of Advanced Encryption Standard (AES) and Elliptic Curve Cryptography (ECC), is applied to offer high data protection with minimal computer computation (calculations). Also, the adaptive authentication system is developed based on a token that confirms the identity of users on a dynamic basis and reduces the possibility of unauthorized access. Safe key management protocol based on blockchain of decentralized trust validation and non-tampered audit trails is included in the framework. Test findings on different cloud-based applications prove higher efficiency with 98.7 % accuracy in authentication, 41 percent decrease in latency and better resistance on man in the middle as well as replay attacks as opposed to traditional methods. The study develops an effective and scalable security architecture appropriate to cloud-up applications of enterprise scale and real-time data security in distributed systems.