Secure Data Storage in Cloud Computing Using Code Based McEliece and NTRU Cryptosystems

• Published in: SN computer science 2024-04, Vol.5 (4), p.396, Article 396
• Main Authors: E, Geetha Rani, Tukkoji, Chetana
• Format: Article
• Language: English
• Subjects: Access control; Advances in Computational Approaches for Image Processing; Algorithms; Cloud Applications and Network Security; Cloud computing; Computer Imaging; Computer Science; Computer systems; Computer Systems Organization and Communication Networks; Computers; Control data (computers); Cryptography; Cybersecurity; Data encryption; Data integrity; Data storage; Data Structures and Information Theory; Data transmission; Digital signatures; Encryption; Genetic algorithms; Information Systems and Communication Service; Interceptors; Internet service providers; Methods; Multiplication; Number systems; Original Research; Pattern Recognition and Graphics; Polynomials; Prime numbers; Quantum computing; Rings (mathematics); Security systems; Software Engineering/Programming and Operating Systems; Vision; Wireless Networks
• ISSN: 2661-8907; 2662-995X; 2661-8907
• DOI: 10.1007/s42979-024-02736-1

Information must be kept private and secure because it is shared when people communicate online, making data protection essential. Data sharing is a significant element of this. Information can now be viewed by unauthorized interceptors due to the volume of data being transmitted online. Cryptography has been a key component of security systems. A blank message is encrypted during this process to add protection. An exact copy ensures sufficient protection of data in both conventional and quantum computing is urgently needed given the rise of quantum computing, as encryption is currently the most popular method of cloud data protection. Symmetric key cryptosystems, in comparison to public key cryptosystems, are faster because they only need a single private key to encode and decrypt data at both ends. Even so, it can be challenging to maintain security in a hostile environment while carrying out compatible and effective key distribution and secure private data transmission across organizations. In this paper comprehensive analysis of this cryptosystem is presented and describes the component-by-component approach used in its implementation. The different attacks on the code based McEliece cryptosystem are covered separately. The experimental results obtained using Goppa codes are also reported in the research where the simulations are carried out at different extension degrees. Using the results of the simulations, we came to our findings about the outcomes and the numerous implementation issues. In this work, a model is proposed that applies the Cloud customer data security using NTRUs (nth degree truncated polynomial ring units) together with a code based McEliece variation cryptosystem to secure access control data. To encrypt and decode data, the modified NTRU cryptosystem is employed, which is powered by lattice math. The process of multiplying larger numbers or conducting complex multiplication is known as lattice multiplication, which divides the process into smaller steps while maintaining an algorithm that is precisely the same as the traditional long multiplication method.