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International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

Quantum Based Macorpgraphy System Implementations for Attacks in Data Maintenance

Pranav Kumar, Ashish Pathani, Zaid Ajzan Alsalami, Krishna Kant Dixit, Swarna Venkatesh, K. R. Raghunandan

Published May 14, 2024• 2 citations
Publisher

Abstract

Now securing data in the cloud has become more complicated. In cloud environments, the data security based on the concept of authentication using cryptographic techniques is being checked. In addition to traditional encryption methods, quantum cryptography is gaining popularity and uses the concepts of quantum physics for the encryption of data. The Quantum Key Distribution (QKD) that quantum cryptography brings enhanced security, as it provides resistance against many of the prevailing cyber threats. This paper introduces the Secure Quantum Key Distribution (SQKD-CDS) for cloud data security, a new simulation framework. This method encrypts user data through non-Abelian encryption (NAE) for which strong data protection is provided. The Quantum Key also provides data on cloud servers with easy access. Quantum methods are used to efficiently distribute this key among nodes. The proposed cloud simulator is used to determine the effectiveness of the proposed simulation model. The obtained results revealed that the SQKD-CDS algorithm was quite efficient in comparison to the traditional security visualization algorithm, both in terms of time complexity and computational requirements.

DOI
10.1109/icacite60783.2024.10617069

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Now securing data in the cloud has become more complicated. In cloud environments, the data security based on the concept of authentication using cryptographic techniques is being checked. In addition to traditional encryption methods, quantum cryptography is gaining popularity and uses the concepts of quantum physics for the encryption of data. The Quantum Key Distribution (QKD) that quantum cryptography brings enhanced security, as it provides resistance against many of the prevailing cyber threats. This paper introduces the Secure Quantum Key Distribution (SQKD-CDS) for cloud data security, a new simulation framework. This method encrypts user data through non-Abelian encryption (NAE) for which strong data protection is provided. The Quantum Key also provides data on cloud servers with easy access. Quantum methods are used to efficiently distribute this key among nodes. The proposed cloud simulator is used to determine the effectiveness of the proposed simulation model. The obtained results revealed that the SQKD-CDS algorithm was quite efficient in comparison to the traditional security visualization algorithm, both in terms of time complexity and computational requirements.
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The widespread cryptographic methods RSA and AES have become more susceptible to quantum-based attacks because researchers developed quantum algorithms such as Shor's and Grover's. QKD chromosomes from quantum mechanics grant authorized parties the ability to exchange cryptographic keys securely alongside built-in eavesdropping detection functionality. In the proposed method a Quantum Key Distribution (QKD) is used to integrate into cloud environments to secure data against quantum threats which have become crucial security concerns today. A new security framework for combining QKD with standard cloud utilities strengthens both access privacy and verify data integrity and ensure authentication of user information. The system framework consists of key generation from quantum elements followed by distribution through quantum channels to support secure communication protocols for Software as a Service (SaaS) and Platform as a Service (PaaS) as well as Infrastructure as a Service (IaaS). The key performance evaluation of the QKD system includes measurements of key generation rate together with Quantum Bit Error Rate (QBER) and eavesdropping detection accuracy rates. The analysis against traditional cryptographic systems proves that QKD stands superior in quantum attack resilience. The proposed system demonstrates its efficiency and robustness through simulation outcomes as well as visual representations. The presented work demonstrates both the revolutionary capability of quantum technology for cloud security along with a deployable system architecture for future systems implementation. The research work advances the creation of cloud infrastructure systems which combine high security resilience to protect against future cyber threats.
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.
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.
ABSTRACT Nowadays, securing data in the cloud is a challenging task; hence, many studies are being conducted on the use of cryptographic techniques for authentication‐based cloud data security. Apart from traditional cryptographic techniques, data encryption can also utilize certain physical principles of quantum models, known as cryptography. In the existing method, the secure quantum key distribution for cloud data security (SQKD‐CDS) model has high computational complexity and low storage efficiency. However, the quantum cryptography‐based cloud security (QC‐CSM) model uses an optical fiber connection to prevent attackers from altering the secret key shared with the network. This paper presents a novel model called enhanced non‐Abelian NTRU (N‐th degree truncated polynomial ring encryption) (En‐naNTRU) with supersingular isogeny key exchange (SIKE). SIKE's function is to generate a secure key exchange mechanism; thus, it communicates with two parties using a shared session key. This session key acts as a symmetric key for encrypting messages. However, the En‐naNTRU uses this session key to encrypt and decrypt the message securely. The En‐naNTRU handles both encryption and decryption mechanisms. Thus, the integrated method combines and ensures robust security against both quantum and classical threats. The proposed model evaluates computation time, integrity score, encryption and decryption time, processing time, and memory utilization and compares the performance of integrity‐based encryption to attribute‐based encryption. Therefore, the proposed model reduces time complexity and effectively outperforms both classical and quantum security.
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.