A Study on Data Security in Cloud Computing: Traditional Cryptography to the Quantum Age Cryptography
Srinidhi Kulkarni, Rishabh Kumar Tripathi, Meera G Joshi · Apple Academic Press eBooks · 2023
The rapidly advancing needs for scalable technologies which accommodate and handle the huge data inspired the idea of the Cloud. In Cloud systems, the services, platforms, or infrastructure are provided to the client as a service based on the requirements specified. The main element that connects the client and the virtual cloud is the data which is to be saved in or accessed from the cloud. The major concern around this data flow and cloud interaction is the security, privacy of the data which is in transit or at rest. The traditional approaches to secure a system are through the enforcement of the cryptographic algorithms, whose backbone is the complex mathematics and the functions which are computationally costly to decode. But as we advance as a modern generation of technology with upgraded computing capabilities such as quantum computing, the idea of 148 securing systems on the basis of computationally hard problems is not completely secure as quantum computation emerges as a threat to the pure cryptosystems. This prompts to the necessity of developing hybrid cryptosystems, which are more secure than the pure cryptosystems. In this chapter, we present a comparative analysis between various traditional cryptosystems and hybrid cryptosystems considering the factors such as the length of the key or cipher and the time for encryption and decryption. In this chapter, we also present a study of various security enhancing concepts, such as (i) machine learning and deep learning-based methods; (ii) quantum cryptography methods; and (iii) post-quantum cryptography concepts, which secure the cloud ecosystem despite the threats posed due to emergence of quantum computers or supercomputers. This chapter aims to contribute to the domain knowledge of cloud security and the different ways to enhance it.