Computer Modeling in Engineering & Sciences

An Effective Non-Commutative Encryption Approach with Optimized Genetic Algorithm for Ensuring Data Protection in Cloud Computing

Sachin Kumar, S. Ravimaran, M. M. Gowthul Alam

Published Jan 1, 2020• 19 citations

Abstract

Nowadays, succeeding safe communication and protection-sensitive data from unauthorized access above public networks are the main worries in cloud servers. Hence, to secure both data and keys ensuring secured data storage and access, our proposed work designs a Novel Quantum Key Distribution (QKD) relying upon a non-commutative encryption framework. It makes use of a Novel Quantum Key Distribution approach, which guarantees high level secured data transmission. Along with this, a shared secret is generated using Diffie Hellman (DH) to certify secured key generation at reduced time complexity. Moreover, a non-commutative approach is used, which effectively allows the users to store and access the encrypted data into the cloud server. Also, to prevent data loss or corruption caused by the insiders in the cloud, Optimized Genetic Algorithm (OGA) is utilized, which effectively recovers the data and retrieve it if the missed data without loss. It is then followed with the decryption process as if requested by the user. Thus our proposed framework ensures authentication and paves way for secure data access, with enhanced performance and reduced complexities experienced with the prior works.

DOI: 10.32604/cmes.2020.09361

Related papers

Quantum Key Distribution and Cryptography Mechanisms for Cloud Data Security

M. Thangapandiyan, P. M. Rubesh Anand, K. Sakthidasan Sankaran

Providing security to the Personal Health Record (PHR) stored in cloud is an important and critical task in recent days. Different cloud security mechanisms are developed in the traditional works for this purpose mainly focused on authentication based security. This paper aims to develop a novel key distribution and encryption mechanism namely, Quantum Key Distribution and Non-Abelian Encryption (QKD-NAE) for secure storage and access of PHR. In cloud environment, the hospital admin and user uses a quantum key for data access, where the users may be a doctor, patient, nurse, physicians, and accountants. The hospital admin uses the Diffie Hellman (DH) algorithm for secure secret generation, and every user separates the secret based on their designation. Then, the admin splits the input data into attributes and encrypts it by using NAE. When the user sends the request to the service provider, the access control policy maintained by the Third Party Auditor (TPA) is verified for data access. The valid user receives the data from multiple servers based on the access control policy created by the DH algorithm. The major advantage of this work is that the unauthorized users are not able to know the quantum key and the generated secret which leads to increased data security. The experimental results evaluate the performance of the existing and proposed techniques with respect to different measures.

Apr 1, 201812 citations

An Operative Encryption Method with Optimized Genetical method for Assuring Information Security in Cloud Computing

Ved Prakash Mishra, V. S. Krushnasamy, Faiz Akram +2 more

The cloud customer is typically uninformed of the provider's threat assessment and mitigation procedures. Ask what safety precautions the service provider takes. So, the client must likewise do something to improve the supplier's security. The function of quantum key distribution (QKD) in cryptographic infrastructures is investigated in this work. QKD uses quantum mechanical systems to promise safe key agreements. There is a claim that QKD will play a significant role in upcoming cryptographic infrastructures. Without relying on computational assumptions, it can guarantee long-term confidentiality for encrypted data. In fact, even when using public-key authentication, we contend that QKD still provides stronger security than conventional key agreements. Several researchers have put forth various data recovery strategies, but they are ineffective and unreliable. When the primary cloud server loses its data and is unable to offer data to users, the proposed technique gives the user the option to acquire information from any backup server in order to achieve reliability. The decryption procedure is then carried out in response to the user's request. Experiments were done to demonstrate the applicability of the proposed frameworks, and performance indicators were compared to those utilized by other researchers. Based on this study, a framework is developed, that guarantees authentication and lays the way for safe data access, with better performance and fewer complications than the previous efforts.

International Journal of Intelligent Systems and Applications in EngineeringJul 11, 20230 citations

Quantum-Enhanced Security Advances for Cloud Computing Environments

Devulapally Swetha, Shaik Khaja Mohiddin

Recent developments in quantum-enhanced security have demonstrated encouraging promise for enhancing cloud computing environments' security. Utilizing quantum physics, in particular Quantum Key Distribution (QKD), provides a new method for generating cryptographic keys and improves cloud data transport security. The present study offers a thorough investigation of the integration of QKD with conventional encryption techniques, including Advanced Encryption Standard (AES), in order to tackle the dynamic cyber security scenario in cloud computing. The approach entails combining AES for encryption and decryption procedures and establishing a QKD layer within the cloud architecture to produce true quantum keys utilizing Quantum in Cloud technology. Data transmission security is greatly improved by the smooth integration of AES with QKD-generated keys, guaranteeing confidentiality, integrity, and authenticity. In addition, strong key management practices are put in place to handle cryptographic keys safely at every stage of their lifespan, reducing the possibility of unwanted access or interception. The suggested approach successfully addresses the difficulties presented by cyber threats by offering a robust and flexible means of enhancing security in cloud-based systems. Using both traditional and quantum encryption methods, this strategy provides a strong barrier against cyber-attacks, data leaks, and other security flaws. After 70 simulation rounds, the suggested strategy, which is implemented using the QKD-AES framework in Python software, achieved a data access rate of 820 MB/s. In addition to providing an accurate and quantitative assessment of the performance, this also exhibits a high data access rate attained under simulated conditions. At 15 milliseconds, the key generation time was achieved with efficiency, guaranteeing the quick creation of secure cryptographic keys in cloud environments. Overall, there is a lot of potential in using quantum-enhanced security techniques to protect sensitive data and guarantee the integrity of cloud computing infrastructures.

International Journal of Advanced Computer Science and ApplicationsJan 1, 20248 citations

Enhancing Cloud Security with Secure Quantum Key Distribution (SQKD-CDS) for Data Protection

Kanegonda Ravi Chythanya, Ch. Srinivasa Reddy, Pallavi Shetty +3 more

This research develops SQKD-CDS as a Secure Quantum Key Distribution for Cloud Data Security model which strengthens cloud information protection. NAE and QKD technologies work together in the model to establish secure key-sharing and encryption systems. QKD transmits secret keys by quantum principles through secure channels to stop eavesdropping because of Heisenberg's uncertainty principle. The encryption method applies non-commutative cryptographic structures which create a higher level of security protection. A secret key created through the Diffie-Hellman algorithm allows cloud administration personnel to authenticate with their users during mutual verification. The CloudSim tool proves that SQKD-CDS improves safety levels while shortening encryption and decryption processes along with enhancing storage capacity utilization. SQKD-CDS demonstrates superior performance through its lower QBER and faster key group times which reach 24.7 ms when implementing 50 files. The model provides protection against denial-of-service occurrences as well as man-in-the-middle breaches. SQKD-CDS reducing memory consumption to 135.5 KB while showing improved security characteristics to be considered as a quantum cryptographic solution for storing cloud data safely.

International Conference on Multidisciplinary Research and Innovations in Engineering (MRIE)Jul 30, 20250 citations

A Novel Multi-Qubit Quantum Key Distribution Ciphertext-Policy Attribute-Based Encryption Model to Improve Cloud Security for Consumers

Kranthi Kumar Singamaneni, Ghulam Muhammad, Zulfiqar Ali

With the growing adoption of cloud computing, ensuring data security in cloud environments has become a critical concern for business organizations. Quantum cryptography utilizes the principles of quantum mechanics to guarantee secure communication, as any attempt to eavesdrop will change the quantum states, alerting the parties of the intrusion. This paper proposes a multi-qubit Quantum Key Distribution (QKD) ciphertext-policy attribute-based encryption (CP-ABE) for cloud security. The proposed multi-qubit QKD model for secure cloud data using quantum cryptography involves the use of a quantum key distribution protocol to generate a secure key for encryption and decryption. This protocol involves sending quantum signals through a quantum channel to distribute a secret key between the sender and the receiver. The key is then used for the encryption and decryption of data using the CP-ABE technique. This technique allows the encryption and decryption of data based on attributes rather than an explicit key exchange, making it particularly suitable for cloud environments where data is stored and processed by multiple users with varying levels of access. The positive results from the proposed simulation model suggest the potential of quantum cryptography in securing cloud data.

IEEE Transactions on Consumer ElectronicsNov 9, 202338 citations

Secure Data Access in Cloud Environments Using Quantum Cryptography

Lakshmi, S. Vasavi Venkata, Ziaul Haque Choudhury

Cloud computing has made storing and accessing data easier but keeping it secure is a big challenge nowadays. Traditional methods of ensuring data may not be strong enough in the future when powerful quantum computers become available. To solve this problem, this study uses quantum cryptography to protect data in the cloud environment. Quantum Key Distribution (QKD) creates secure keys by sending information using quantum particles like photons. Specifically, we use the BB84 protocol, a simple and reliable way to make secure keys that cannot be stolen without detection. To protect the data, we use the Quantum One Time pad (QOTP) for encryption and decryption, ensuring the data stays completely private. This study shows how these Quantum methods can be applied in cloud systems to provide a strong defense against hackers, even if they have access to quantum computers. The combination of QKD, BB84, and QOTP creates a safe and reliable way to keep data secure when it is stored or shared in the cloud. Using quantum cryptography, this paper provides a way to ensure data security now and in the future, making cloud computing safer for everyone to store their data securely and safely.

arXiv:2506.10028Jun 10, 20250 citations