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International Conference on Computer Science & Education (ICCSE)

Optimised Privacy Model for Cloud Data

Henry Chima Ukwuoma, Arome Junior Gabriel, Aderonke Favour-Bethy Thompson, Boniface Kayode Alese

Published Aug 17, 2021• 2 citations
Publisher

Abstract

Data security in the cloud has a been major issue upon the inception of cloud computing, frameworks have been proposed and implemented yet data breach prevails. With encryption being the dominant method of cloud data security, the advent of quantum computing implies that there is an urgent need to come up with an improved system that will provide adequate data security for both cloud and quantum computing. However, some cryptosystems will be rendered susceptible and obsolete although, some cryptosystems will stand the test of quantum computing. This paper proposes an optimised system for cloud data security using McEliece and NTRU cryptosystems for data security in cloud and quantum computing. While a of McEliece cryptosystem will be used for securing user credentials, a variant of NTRU will also be used for securing user data.

DOI
10.1109/iccse51940.2021.9569395

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Data security in the cloud has a been major issue upon the inception of cloud computing, frameworks have been proposed and implemented yet data breach prevails. With encryption being the dominant method of cloud data security, the advent of quantum computing implies that there is an urgent need to come up with an improved system that will provide adequate data security for both cloud and quantum computing. However, some cryptosystems will be rendered susceptible and obsolete although, some cryptosystems will stand the test of quantum computing. This paper proposes an optimised system for cloud data security using McEliece and NTRU cryptosystems for data security in cloud and quantum computing. While a of McEliece cryptosystem will be used for securing user credentials, a variant of NTRU will also be used for securing user data.
Abstract Data security in the cloud has been a major issue since the inception and adoption of cloud computing. Various frameworks have been proposed, and yet data breach prevails. With encryption being the dominant method of cloud data security, the advent of quantum computing implies an urgent need to proffer a model that will provide adequate data security for both classical and quantum computing. Thus, most cryptosystems will be rendered susceptible and obsolete, though some cryptosystems will stand the test of quantum computing. The article proposes a model that comprises the application of a variant of McEliece cryptosystem, which has been tipped to replace Rivest–Shamir–Adleman (RSA) in the quantum computing era to secure access control data and the application of a variant of N-th degree truncated polynomial ring units (NTRU) cryptosystem to secure cloud user data. The simulation of the proposed McEliece algorithm showed that the algorithm has a better time complexity than the existing McEliece cryptosystem. Furthermore, the novel tweaking of parameters S and P further improves the security of the proposed algorithms. More so, the simulation of the proposed NTRU algorithm revealed that the existing NTRU cryptosystem had a superior time complexity when juxtaposed with the proposed NTRU cryptosystem.
Since the dawn of the web and its widespread usage, privacy of data has been a significant problem. Multiple systems have been suggested; however, data breaches still happen often. The advent of quantum science suggests a pressing need to develop a paradigm that would provide acceptable security of information for both conventional and quantum computer technology, since encrypting is now the most popular way of cloud data protection. Thus, although some encrypted systems will withstand the test of the quantum computer, the majority will become vulnerable and out-of-date. The article suggests a model that entails using an instance of the McElwee digital currency to secure restricted data, which is expected to displace Rivest Shamir Ad in the age of quantum science, and a version of the extent shortened dependent ring units' digital currency to safeguard cloud customer information. The suggested McElwee technique's modelling revealed that it had a lower temporal complexity than the current McElwee cryptosystem. The reliability of the suggested algorithms is further enhanced by the new tuning of the values for Sand P. Furthermore, the simulation of the suggested NTRU technique showed that, when compared to the current NTRU cryptosystem, the new NTRU system had a better time hardness.
The safety and security of various cryptosystems are related to the hardness of the integer factorization problem and discrete logarithm problem, most cryptosystems will be rendered vulnerable to attack and outdated as quantum computers become more advanced.This study examines lattice-based cryptography (the NTRU cryptosystem), compares the suggested variation to other cryptosystems by simulation and presents the execution time for key generation, encryption, and decryption procedures, as well as to highlight the benefits and drawbacks of the proposed cryptosystem.A variant of the NTRU cryptosystem is developed with the purpose of improving the cryptosystem's security by allowing it to withstand attacks in both classical and quantum computing.The simulation revealed that the existing NTRU cryptosystem has a better time complexity compared to the proposed NTRU cryptosystem.The existing NTRU cryptosystem has a time complexity of O(n 2 ) while the proposed variant has O(n 3 ).Though had a better capacity of handling large data because of the introduction of lattice multiplication.
Quantum computers and research on quantum computers are increasing due to the efficiency and speed required for critical applications. This scenario also kindles the vitality of data protection needed against threats from quantum computers. Research in post-quantum threats is very minimal so far, but it is much needed to protect the enormous data stored in the cloud for healthcare, governmental, or any crucial data. This research work presents an advanced hybrid double encryption approach for cloud data security based on Post-Quantum Cryptography (PQC) to ensure the restriction of unauthorized access. The suggested approach combines the benefits of the NTRU encryption and AES encryption algorithms and works in hybrid mode, offering strong security while resolving issues with real-time performance and cost-efficiency. A streamlined key management system is set together to improve real-time processing, significantly reducing encryption and decryption delay times. Moreover, NTRU Encrypt dynamic parameter selection, which adapts security parameters based on data sensitivity, maintains accurate information and security. In addition to addressing real-time performance and data security, an innovative development in this method is known as Quantum-Adaptive Stream Flow Encryption (QASFE), which enables secure data sharing and collaborative working within a quantum-resistant framework. This innovative feature enhances data accessibility while maintaining the highest level of security. In the era of post-quantum cryptography, our multifactor authentication technique, integrating double encryption and QASFE, is a proactive and flexible solution for securing cloud data, and protecting data security and privacy against emerging threats.
Nowadays, data transfer has been vast online and on social media. Hence data security in the various cloud environments has been enabled to send and receive data. While transferring the data, some issues in the cloud environment are the lack of connectivity, control, and the insecurity of the password and the data. To handle this problem, data security and the internet connection have to be enabled for the cloud environments. The method of homomorphic encryption and the transport layer security protocol have been enabled for the analysis. The homomorphic encryption method converts the data to the ciphertext for making the text in the original format. Then the transport layer security protocol is used to authenticate the data, and the data integrity of the communication can be executed. The proposed system performs better than current protocols like Dynamic Level Based Integrity Checking Protocol, TLS protocol, and Lightweight Cryptosystem, making it a potential option for jobs involving safe and effective cloud information processing. Overall, the proposed Two-tier Homomorphic Encryption system exhibits improved execution time, security strength, resource utilization, communication overhead, and user satisfaction. It addresses issues such as connectivity gaps, control deficiencies, and password and data insecurity, making it an effective method for boosting cloud security in quantum cloud computing environments.
In the medical field, images play a crucial role in patient monitoring, treatment planning, and diagnosis. Since the digital healthcare revolution, a large number of medical images are being transmitted and stored, making security essential. Any breach in data confidentiality can lead to misdiagnosis of patients. The traditional encryption techniques, like McEliece, have been used to shield medical data. However, the rise of quantum computers poses a threat to the prevailing encryption techniques, as they can easily break and expose medical data to quantum attacks. To overcome these attacks, post-quantum cryptography (PQC) has been introduced. Nth degree truncated polynomial ring unit (NTRU) is a lattice-based PQC algorithm that uses complex mathematical concepts that cannot be solved by quantum computers. Harnessing NTRU's lattice-based security ensures the robustness and resilience of medical data. The proposed system implements the PQC-based NTRU algorithm to protect medical data against quantum attacks.