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International Journal of Advanced Intelligence Paradigms

An efficient quantum hash-based CP-ABE framework on cloud storage data

Kranthi Kumar Singamaneni, P. Sanyasi Naidu

Published Jan 1, 2022• 16 citations
Publisher

Abstract

With the exponential growth of cloud data and storage space, cloud security has become one of the interesting research areas of cloud computing servers. Attribute-based encryption is a public key encryption algorithm that allows cloud users to secure their sensitive information in the public cloud servers. Quantum key distribution (QKD) is required to improve the security of communication systems. Quantum cryptographic scheme completely depends on quantum mechanics. The major objective of quantum key distribution is to generate a key that takes part in encryption. Traditional attribute-based encryption models are insecure and possible of key distribution attacks using man-in-the-middle attacks. Also, as the size of the input data increases, traditional ABE models failed to compute efficient secret key due to computational time and network overhead. To overcome these issues, a novel chaotic integrity and quantum key distribution (QKD)-based cipher text policy ABE model is implemented in cloud environment. Experimental results proved that the proposed model has high computation speed, storage overhead and secured key distribution compared to traditional CP-ABE, KPABE and QKD-ABE models.

DOI
10.1504/ijaip.2022.124317

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With the exponential growth of cloud data and storage space, cloud security has become one of the interesting research areas of cloud computing servers. Attribute-based encryption is a public key encryption algorithm that allows cloud users to secure their sensitive information in the public cloud servers. Quantum key distribution (QKD) is required to improve the security of communication systems. Quantum cryptographic scheme completely depends on quantum mechanics. The major objective of quantum key distribution is to generate a key that takes part in encryption. Traditional attribute-based encryption models are insecure and possible of key distribution attacks using man-in-the-middle attacks. Also, as the size of the input data increases, traditional ABE models failed to compute efficient secret key due to computational time and network overhead. To overcome these issues, a novel chaotic integrity and quantum key distribution (QKD)-based cipher text policy ABE model is implemented in cloud environment. Experimental results proved that the proposed model has high computation speed, storage overhead and secured key distribution compared to traditional CP-ABE, KPABE and QKD-ABE models.
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.
The energy and power industry faces increasing data security challenges amidst its digital transformation. Databases, as the foundation of digital infrastructure, require advanced encryption techniques to safeguard sensitive information. This paper proposes a novel encryption framework, QKD-ABE, that integrates Quantum Key Distribution (QKD) with Attribute-Based Encryption (ABE) to enhance the confidentiality, integrity, and access control of power system data. QKD enables unconditional security in key distribution by leveraging quantum mechanics, effectively preventing key interception and tampering. ABE provides fine-grained access control by enforcing encryption policies based on user attributes, ensuring that only authorized individuals can access private data. The proposed scheme also demonstrates strong resistance to common security threats, including man-in-the-middle and eavesdropping attacks, through quantum measurement disturbance and Quantum Bit Error Rate (QBerr) verification. Experimental results and theoretical analysis indicate that QKD-ABE offers a secure, efficient, and scalable solution for protecting sensitive data in modern smart grid environments.
Data security challenges in cloud computing have grown as a fundamental issue because of rising cyber threats during this period. The proposed model QC-CSM relies on the quantum key distribution process (QKDP) and ABE to use quantum cryptography in developing a cloud security framework that enhances security measures. The model provides key distribution together with authentication and encryption security through the application of the quantum no-cloning theorem alongside quantum mechanics principles. The experimental results conducted through CloudSim and iQuantum generate data that confirms the model exhibits efficient performance across storage, encryption, and processing speed. The key generation process takes 35% less time than conventional multi-authority attribute-based encryption (MAABE) and pairing-based provable multi-copy data possession (PB-PMDP) encryption methods. Additionally, the encryption and decryption operations operate at optimized speeds. The reduction of storage overhead (SO) amounts to 20% which leads to improved memory performance. The model demonstrates effective detection abilities to identify quantum key distribution (QKD) network eavesdropping which prevents secure network breaches. The experimental data demonstrate that QC-CSM delivers both a secure platform and a scalable and efficient cloud security infrastructure. The chapter shows that quantum cryptography enables cloud system protection when it incorporates QKD components with contemporary encryption technologies.
Summary Improvement of privacy and security in data centers is challenging with proficient safety key managing. So as to resolve this issue, data centers require proficient quantum cryptographic techniques with authentication methods that are suitable to improve the privacy and security with lesser intricacy. In addition, quantum cryptography (QC) offers maximal security with lesser complication, which raises the security strength and storing capability of big data. This work intends to introduce a QC oriented data security model in cloud via electing the optimal private key. Here, attribute based encryption (ABE) is performed for ensuring better data transmission among the nodes in cloud. For key generation in ABE, improved QKD is adopted in this work. Depending upon this, the decryption and encryption is done. Moreover, for optimal secret key selection in ABE, self‐modified Aquila optimization (SM‐AO) scheme is deployed. Further, analysis is done depending upon varied metrics.
With the rapid development of quantum computing technology, data sharing systems in cloud storage may suffer from quantum computing attacks. Recently, many researchers have proposed encryption schemes to achieve quantum attack resistance and fine-grained data access control. However, single point of failure and secure attribute revocation are two critical problems for quantum-resistant encryption scheme in cloud storage environments. In order to deal with these problems, in this paper, we propose a revocable multi-authority attribute-based encryption from lattice (RMA-ABE-L) in cloud storage. Firstly, RMA-ABE-L scheme can achieve fine-grained data access control with quantum computing attack resistance. We design efficient anti-quantum algorithms based on R-LWE problem and merge them with ciphertext-policy attribute-based encryption (CP-ABE) structure. Secondly, RMA-ABE-L scheme can solve the single point of failure problem. We design the multi-authority structure to so that the compromise of some authorities does not affect the functioning of the whole data sharing system. Moreover, RMA-ABE-L scheme can realize secure attribute revocation. We design a secure attribute revocation mechanism and set special identity construction. The performance analysis shows that RMA-ABE-L scheme is more efficient than other related schemes.
An efficient way of ensuring security in cloud is to give secure data access control among untrusted cloud server. Hence to improve the security, a new system could be introduced such as Quantum Security Scheme which invokes Quantum gates for encryption purpose. Quantum cryptography has been rapidly developing these days due to its efficient service which is provided by means of key generation and key distribution. Quantum Ciphertext-Policy Attribute Based Encryption (QCP-ABE) is a promising technique for data access control on encrypted data. This scheme also achieves mutual authentication among those authorities involving in the system and it also achieves both forward and backward security.