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Journal of Intelligent & Fuzzy Systems

Enhancing the cloud security using side channel attack free QKD with entangled fuzzy logic

N. Gopinath, S. Prayla Shyry

Published Sep 6, 2022• 13 citations
Publisher

Abstract

As technology advances, it becomes easier to share large amounts of data over the internet. Cloud computing is one of the technologies that allows for easy data sharing over the internet. It is critical to provide security for this data when they are being shared across the internet. The security of data saved in cloud storage, as well as data transport and transmitting a key required to encrypt data between two parties, has been a source of concern for the industry, as a result of the growing use of cloud services in recent years. Collective attacks are significantly more powerful than individual strikes, according to our research. Despite the fact that additional research works were studied in the previous literature review, there are some study concerns for not correcting third-party data hacking. Therefore, this paper focuses on the design of Secured Quantum Key Distribution (SQKD) with Fuzzy logic to improve the security of the shared key. Quantum Key Distribution, Post Quantum Key Distribution, and the EPR Proto-col are technologies that increase the security of data sharing. We have incorporated the Secured Quantum Key Distribution (SQKD) with Fuzzy logic in our proposed work to improve the security of the shared key. The proposed systems include some additional characteristics in addition to the existing approaches. The proposed model uses shifting algorithms and the fuzzification procedure to assure the security of the secret key in the Fuzzification of Quantum Key approach. The experimental results states that the mean value of security losses in SFQ is 1.8306051, and the mean value of QKD is 14.6448416, with standard deviations of 1.7329 and 13.863 for SFQ and QKD, respectively.

DOI
10.3233/jifs-220398

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As technology advances, it becomes easier to share large amounts of data over the internet. Cloud computing is one of the technologies that allows for easy data sharing over the internet. It is critical to provide security for this data when they are being shared across the internet. The security of data saved in cloud storage, as well as data transport and transmitting a key required to encrypt data between two parties, has been a source of concern for the industry, as a result of the growing use of cloud services in recent years. Collective attacks are significantly more powerful than individual strikes, according to our research. Despite the fact that additional research works were studied in the previous literature review, there are some study concerns for not correcting third-party data hacking. Therefore, this paper focuses on the design of Secured Quantum Key Distribution (SQKD) with Fuzzy logic to improve the security of the shared key. Quantum Key Distribution, Post Quantum Key Distribution, and the EPR Proto-col are technologies that increase the security of data sharing. We have incorporated the Secured Quantum Key Distribution (SQKD) with Fuzzy logic in our proposed work to improve the security of the shared key. The proposed systems include some additional characteristics in addition to the existing approaches. The proposed model uses shifting algorithms and the fuzzification procedure to assure the security of the secret key in the Fuzzification of Quantum Key approach. The experimental results states that the mean value of security losses in SFQ is 1.8306051, and the mean value of QKD is 14.6448416, with standard deviations of 1.7329 and 13.863 for SFQ and QKD, respectively.
Abstract Cloud storages are currently crucial for data storage due to the rapid rise in data demand. However, there are security concerns with cloud computing, such as holes that allow hackers to access or edit data. Such that the data security algorithms are utilized. The primary issue is how to securely distribute the encryption key among users, which is why numerous techniques have been created. Hackers may be able to access the secret key with the use of cutting-edge quantum computers. To avoid those problems quantum key distribution methods are developed. The presented work uses some preprocessing techniques like shifting and binary conversion together with block re-ordering method, fuzzification process, and block re-ordering method to identify and address side channel assaults, one of the issues in the quantum key distribution algorithms. By minimizing security losses, the Binary Conversion and Block Reordering with Fuzzification procedure improve the accuracy and authenticity of the data. According to the experimental findings, the mean rate of security harms using Binary Conversion and Block reordering with Fuzzifcation method is 0.69, whereas the mean rate using conventional approaches is 11.0, with standard deviations of 0.3785 and 6.055, respectively.
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.
Abstract The medical internet of things (MIoTs) is essential for enhancing people's protection, care, and health. Health-related criteria for patients can be remotely tracked and transferred to medical data centers via cloud storage, saving them the trip to the hospital. Additionally, the volume of data processed by MIoTs devices is growing exponentially. Due to the increased revelation of sensitive information, there are many unresolved issues about data security and privacy gathered through MIoTs devices. The requirement to apply machine learning algorithms to massive industrial data is developing as quickly as categorization methods themselves. We offer an Entangled Fuzzy Logic based Quantum Key Distribution (EFL-QKD) for data protection to improve and assess the degree of security such breaches, data integrity, etc. in order to safely store and handle this information in the cloud. Results show that the proposed method enhancing the level of security to the cloud more than 99%, the works remarkably well.
Abstract Network security is critical for both personal and business networks. Most homes with high – speed internet have one or more wireless routers, which can be hacked if not adequately secured. Even though, if more number of solutions were addressed for security, still the security is challenging one in networks.Quantum Key Distribution was proposed to enhance security in the past literature. In this QKD, the secret message was converted in to Q-bits. Through this side channel, there is a chance to hack the data by the Eavesdropper which cannot be identified by the receiver side. So, receiver will send the acknowledgement to the sender for sending encrypted data in the classical channel.From this, the hacker can easily fetch the encrypted data from the classical channel. To address this issue, Security in Quantum side Channel (SQSC) framework has been proposed in which Shifting and Binary Conversions (SBC) algorithm has been implemented. This proposed security model attains good performance to a greater extent.
In today’s era of internet and network application, need for security has become of vital importance. Most of our important data is stored in computer and recently on cloud, also whenever we need to send data to some other person, we make use of internet thus, need of data security becomes increasingly important. Protecting important sensitive data against any unauthorized access is a major concern. Cryptography is one of the methods to safeguard all our important data from being stolen or intercepted by unwanted person. We can rely on classical cryptography for securing our data however, with the advancement of computation they are being phased out. Therefore, Quantum Key Distribution promises a secure key agreement by using law of quantum mechanics thus, QKD becomes a significant trend of new cryptographic revolution. This paper explains how QKD is used for secure sharing of key between two entities i.e. Alice and Bob and further using this shared key for encryption and decryption of text data. In addition to this, paper also discuss about implementation of QKD-BB84 protocol and test result indicates that QKD is secure against man-in-the-middle attack. However, physically implementing QKD is a greatest challenge due to need of Quantum computers and cost of setup.
Abstract The Internet of Healthcare Things is essential for enhancing people's protection, care, and health. Health-related criteria for patients can be remotely tracked and transferred to medical data centers via cloud storage, saving them the trip to the hospital. Additionally, the volume of data processed by Internet of Healthcare Things devices is growing exponentially. Due to the increased revelation of sensitive information, there are many unresolved issues about data security and privacy gathered through Internet of Healthcare Things devices. The requirement to apply machine learning algorithms to massive industrial data is developing as quickly as categorization methods themselves. We offer an Entangled Fuzzy Logic based Quantum Key Distribution for data protection to improve and assess the degree of security such breaches, data integrity, etc. in order to safely store and handle this information in the cloud. Results show that the proposed method enhancing the level of security to the cloud more than 99%, the works remarkably well.