In this modern era, most cryptographic algorithms work on a basic principle to split integers into their primes. But the problem is that mathematics is also evolving at a very fast pace along with computing power so it is now more vulnerable to decryption, for example, one-way functions can be easily reversed along with factoring big integers. So, to solve this issue Quantum Physics gets involved with cryptography which further led to the concept of Quantum Cryptography. Quantum Cryptography is one of the fastest-growing technology in computer science. So, this paper is more focused on Quantum Cryptography technology and how it can be used to make our modern cryptographic era safeguard from top to bottom procedure related to getting more secure Key-transfer. This paper s scope is to cover all the vulnerabilities of the current cryptosystem, the uses of this technology in the real-world scenario, the limitations when used in real-world situations, and also what will be the future of Quantum Cryptography and the path it should head towards. We have tried to use tools and protocols which is modified to use the quantum key transfer by which the user s using it will not have access to each other s personal information, instead of sharing any private or public key in advance, we transfer an unordered quantum transmission which consists of a very little flash of polarized light.

In a traditional voting system, voters have to reach the voting system to cast their votes. It is difficult for the elderly and for those living in remote localities to cast a vote. In the era of digital advancements, remote electronic voting has emerged as an efficient means of engaging citizens in decision-making processes. However, ensuring fairness and mitigating fraud in elections remain significant challenges. This research paper proposes a novel approach called Quantum Secret Sharing (QSS) combined with the quantum binary voting protocol, leveraging the capabilities of the IBM Quantum Experience platform. By incorporating established security features and introducing new criteria, this protocol aims to surpass the limitations of classical voting systems. The research involves the creation of communication circuits using IBM Quantum Experience and subsequent analysis through quantum state tomography. By integrating the principles of QSS and the quantum binary voting protocol, the proposed approach addresses the limitations of classical voting systems. The protocol satisfies the standards of traditional voting systems while introducing new criteria to overcome their shortcomings. Through the utilization of IBM Quantum Experience, secure communication circuits are established, and the outcomes are analyzed using quantum state tomography, ensuring the fairness and accuracy of the voting process. It integrates quantum cryptography, quantum communication, and classical cryptography techniques to create a robust and tamper-resistant voting protocol. By employing quantum superposition, the protocol enables voters to cast their votes in multiple states simultaneously, making it extremely difficult for a malicious person to intercept or alter individual votes. Furthermore, quantum entanglement ensures that any unauthorized attempt to measure or manipulate the quantum states would result in detectable changes, enhancing the overall security of the voting process.

Over the past decade, we ve witnessed a remarkable and rapid surge in the realm of high-performance computing. The entire computing landscape, encompassing cloud and fog computing, has seen an unprecedented surge in popularity. Cloud computing, a system interconnecting myriad components, delivers application, data, and storage services over the internet. Quantum computing, on the other hand, harnesses the remarkable phenomena of quantum mechanics like superposition and entanglement for computational purposes. This paper serves as an expansive introduction to the fundamental principles, historical evolution, and breakthroughs in quantum computing, shedding light on its applications in network technology and cryptography. Moreover, it delves into the exciting potential for future game development empowered by quantum technology. In particular, we ll uncover the latest strides in cognitive networking and cryptography, drawing attention to the cutting-edge developments. Finally, we ll scrutinize the on-going research endeavours and lingering questions demanding further exploration within the dynamic realm of quantum computing.

The globe is observing the emergence of the Internet of Things more prominently recognized as IoT. In this day and age, there exist numerous technological apparatuses that possess the capability to be interconnected with the internet and can amass, convey, and receive information concerning the users. This technology endeavors to simplify existence, however, when the users information is the central concern for IoT operation, it is necessary to adhere to security measures to guarantee privacy and prevent the exploitation of said information. The customary cryptographic algorithms, such as RSA, AES, and DES, may perform adequately with older technologies such as conventional computers or laptops. Nevertheless, contemporary technologies are heading towards quantum computing, and this latter form possesses a processing capability that can effortlessly jeopardize the aforementioned cryptographic algorithms. Therefore, there arises an imperative necessity for a novel and resilient cryptographic algorithm. To put it differently, there is a requirement to devise a fresh algorithm, impervious to quantum computing, that can shield the information from assaults perpetrated utilizing quantum computing. IoT is one of the domains that must ensure the security of the information against malevolent activities. Besides the conventional cryptography that enciphers information into bits, quantum encryption utilizes qubits, specifically photons and photon polarization, to encode data.

The security of our data is the prime priority as it is said “Data is the new Oil”. Nowadays, most of our communications are either recorded or forged. There are algorithms used under classical encryption, such as Rivest-Shamir-Adleman (RSA), digital signature, elliptic-curve cryptography (ECC), and more, to protect our communication and data. However, these algorithms are breakable with the help of Quantum Cryptography. In addition, this technology provides the most secure form of communication between entities under the fundamental law of Physics. Here, we are abiding to discuss the term “Quantum Cryptography.” The aim of this paper is to explore the knowledge related to the Quantum Cryptography, Quantum Key Distribution; and their elements, implementation, and the latest research. Moreover, exploration of the loopholes and the security of Internet of Things (IoT) infrastructure and current used classical cryptographic algorithms are described in the paper.

Recent advances in quantum computing and quantum information theory represent a severe threat to the current state of the art of data protection. In this context, new quantum-safe techniques have emerged in recent decades, which fall into post-quantum and unconditionally secure cryptographic schemes. The firsts rely on computational problems supposed to be hard also for quantum computers. In contrast, the seconds do not depend on the difficulty of a computational problem and are therefore immune to quantum power. In particular, unconditionally secure techniques include Quantum Key Distribution (QKD) protocols for transmitting secret keys thanks to the quantum properties of light. In this work, we discuss QKD networks and post-quantum algorithms, considering their opportunities and limitations and showing that reconciliation between these two directions of cryptography is feasible and necessary for the quantum era.This work is part of the activities of the PON project “Development of quantum systems and technologies for IT security in communication networks” (QUANCOM) which aims to the realization of a metropolitan quantum communication network through the collaboration between universities, research centers and companies operating in the communication market area.

Cryptography was introduced to prevent a third party from accessing and learning the contents of private messages sent during a communication process. Quantum Cryptography looks promising to provide a new level of secure communication by applying quantum mechanics concepts to cryptography. The research in the domain emphasizes that such systems can detect eavesdropping and ensure that it does not occur at all. This paper reviews the existing state of quantum cryptography, which includes an introduction to quantum computing and quantum key distribution algorithm, special attention is given to the implementation and working of the BB84 Protocol. It also provides a glimpse of post-quantum cryptography.

Encryption defined as change information process (which called plaintext) into an unreadable secret format (which called ciphertext). This ciphertext could not be easily understood by somebody except authorized parson. Decryption is the process to converting ciphertext back into plaintext. Deoxyribonucleic Acid (DNA) based information ciphering techniques recently used in large number of encryption algorithms. DNA used as data carrier and the modern biological technology is used as implementation tool. New encryption algorithm based on DNA is proposed in this paper. The suggested approach consists of three steps (conventional, stream cipher and DNA) to get high security levels. The character was replaced by shifting depend character location in conventional step, convert to ASCII and AddRoundKey was used in stream cipher step. The result from second step converted to DNA then applying AddRoundKey with DNA key. The evaluation performance results proved that the proposed algorithm cipher the important data with high security levels.

Securing communication and information is known as cryptography. To convert messages from plain text to cipher text and the other way around. It is the process of protecting the data and sending it to the right audience so they can understand and process it. Hence, unauthorized access is avoided. This work suggests leveraging DNA technology for encrypt and decrypt the data. The main aim of utilizing the AES in this stage will transform ASCII code to hexadecimal to binary coded form and generate DNA. The message is encrypted with a random key. Shared key used for encrypt and decrypt the data. The encrypted data will be disguised as an image using steganography. To protect our data from hijackers, assailants, and muggers, it is frequently employed in institutions, banking, etc.

The problem of information privacy has grown more significant in terms of data storage and communication in the 21st century due to the technological explosion during which information has become a highly important strategic resource. The idea of employing DNA cryptography has been highlighted as a potential technology that offers fresh hope for unbreakable algorithms since standard cryptosystems are becoming susceptible to assaults. Due to biological DNA s outstanding energy efficiency, enormous storage capacity, and extensive parallelism, a new branch of cryptography based on DNA computing is developing. There is still more study to be done since this discipline is still in its infancy. This work proposes a DNA encryption strategy based on cryptographic key generation techniques and chaotic diffusion operation.

Cryptography and steganography is a method to secure private data. Those methods can also be combined for a more robust data security method. In this paper, we proposed a combination of cryptography and steganography methods that exploit some properties of Deoxyribonucleic Acid (DNA) for securing private data. The proposed work aims to enhance a POST-quantum DNA cryptography method by combining it with the steganography method. There are two parts to the proposed method; the first one is to encrypt private messages using a Kyber-DNA cryptography method. The second one is to embed encrypted private messages into a DNA sequence. The proposed method was then compared to another similar method RSA-DNA, El Gamal-DNA, and ECC-DNA. The proposed method is also compared with a similar POST-quantum method, that is NTRU-DNA. All those methods are compared in embedding speed test and extracting speed test. From those tests, it can be concluded that the proposed method has performance slightly lower than El Gamal-DNA and ECC-DNA but faster than RSA-DNA and NTRU-DNA

In this paper will be described a new security protocol for secret sharing and hiding, which use selected personal features. Such technique allows to create human-oriented personalized security protocols dedicated for particular users. Proposed method may be applied in dispersed computing systems, where secret data should be divided into particular number of parts.

A hybrid cryptosystem is developed in the paper “Hybrid Data Encryption and Decryption Using Hybrid RSA and DNA” by combining the advantages of asymmetric-key (public-key) and symmetric-key (private-key) cryptosystems. These two types of cryptosystems use a variety of key types. The approach addresses worries about the users right to privacy, authentication, and accuracy by using a data encryption procedure that is secure both ways. Data encoding and data decryption are two separate security techniques used by the system. It has been suggested that a hybrid encryption algorithm be used for file encryption to handle the issues with efficiency and security. RSA and DNA are combined in this method. The outcome so the tests show that the RSA and DNA hybrid encryption algorithms are suitable for use. In this particular study effort, the hybrid encryption and decoding for cloud processing with IOT devices used the DNA and RSA algorithms.

Information exchange occurs all the time in today’s internet era. Some of the data are public, and some are private. Asymmetric cryptography plays a critical role in securing private data transfer. However, technological advances caused private data at risk due to the presence of quantum computers. Therefore, we need a new method for securing private data. This paper proposes combining DNA cryptography methods based on the NTRU cryptosystem to enhance security data confidentiality. This method is compared with conventional public key cryptography methods. The comparison shows that the proposed method has a slow encryption and decryption time compared to other methods except for RSA. However, the key generation time of the proposed method is much faster than other methods tested except for ECC. The proposed method is superior in key generation time and considerably different from other tested methods. Meanwhile, the encryption and decryption time is slower than other methods besides RSA. The test results can get different results based on the programming language used.

E-health, smart health and telemedicine are examples of sophisticated healthcare systems. For end-to-end communication, these systems rely on digital medical information. Although this digitizing saves much time, it is open source. As a result, hackers could potentially manipulate the digital medical image as it is being transmitted. It is harder to diagnose an actual disease from a modified digital medical image in medical diagnostics. As a result, ensuring the security and confidentiality of clinical images, as well as reducing the computing time of encryption algorithms, appear to be critical problems for research groups. Conventional approaches are insufficient to ensure high-level medical image security. So this review paper focuses on depicting advanced methods like DNA cryptography and Chaotic Map as advanced techniques that could potentially help in encrypting the digital image at an effective level. This review acknowledges the key accomplishments expressed in the encrypting measures and their success indicators of qualitative and quantitative measurement. This research study also explores the key findings and reasons for finding the lessons learned as a roadmap for impending findings.

Counterfeited products are a significant problem in both developed and developing countries and has become more critical as an aftermath of COVID-19, exclusively for drugs and medical equipment’s. In this paper, an innovative approach is proposed to resist counterfeiting which is based on the principles of Synthetic DNA. The proposed encryption approach has employed the distinctive features of synthetic DNA in amalgamation with DNA encryption to provide information security and functions as an anticounterfeiting method that ensures usability. The scheme’s security analysis and proof of concept are detailed. Scyther is used to carry out the formal analysis of the scheme, and all of the modeled assertions are verified without any attacks.

The rate of development in today s IT industry is unprecedented. Information is being stored and transformed at a faster and faster rate. Therefore, the importance of protecting sensitive data is growing. Everyone is concerned about preventing hackers from gaining access to their personal data. Several algorithms from the fields of classical cryptography and steganography can be used to conceal data. DNA cryptography is an emerging field that aims to protect information kept in DNA. DNA cryptography takes use of DNA s innate computing power at the molecular level. In this paper, we are exploring diverse cryptographic algorithms and methods that are used to secure the stored data in DNA. The paper represents the critical review that includes merits and demerits of the diverse cryptographic algorithms for securing the data in DNA.

Today, Distribution System Operators (DSO) face numerous challenges, such as growth of decentralized power generation, increasing unconventional demands, active network management for peak load- and congestion management. Moreover, DSO also face an accelerated asset ageing while confronted with tight budgets and a strong ROI business case justification. The Digital Transformer Twin is the digital representation of real physical assets and enables the operators to evaluate the Transformer Asset Condition by leveraging software capabilities, AI insights from large datasets as well as academic research results in order to turn data into reality. Thus, trusted and consistent results over the entire transformer life span require also a faithful Digital Transformer Twin over the entire physical transformer life cycle from inception to retirement.

Sustainability within the built environment is increasingly important to our global community as it minimizes environmental impact whilst providing economic and social benefits. Governments recognize the importance of sustainability by providing economic incentives and tenants, particularly large enterprises seek facilities that align with their corporate social responsibility objectives. Claiming sustainability outcomes clearly has benefits for facility owners and facility occupants that have sustainability as part of their business objectives but there are also incentives to overstate the value delivered or only measure parts of the facility lifecycle that provide attractive results. Whilst there is a plethora of research on Building Information Management (BIM) systems within the construction industry there has been limited research on BIM in the facilities management \& sustainability fields. The significant contribution with this research is the integration of blockchain for the purposes of transaction assurance with development of a working model spanning BIM and blockchain underpinning phase one of this research. From an industry perspective the contribution of this paper is to articulate a path to integrate a wide range of mature and emerging technologies into solutions that deliver trusted results for government, facility owners, tenants and other directly impacted stakeholders to assess the sustainability impact.

Happiness Is Homemade is a safe and trusted platform that addresses the lack of recreational opportunities faced by older adults. Our website will help people not only elders but also volunteers of younger age groups, connect with people of similar likes and interests helping them enlarge their social circle and switching to other means of recreation apart from mobile phones and television. This platform aims at resolving the issues of lack of leisure time activities which may lead to problems in physical and mental health, social life, and the environment in which they live and interact with older adults. Registered volunteers organize specific activities for senior citizens. Elders who are interested in embarking on new experiences or continue pursuing their hobbies and interests can register for the specific curated event. The event details, time, place, and the details of the volunteer/s organizing the event would be mentioned. Activities here include excursions to specific locations, temple visits, retro nights and yoga, meditation events, etc. It also provides a platform for seniors to organize courses(classes) in their areas of expertise. These courses are accompanied by interested volunteers. Classes can be conducted online or offline at senior citizens homes. Classes can include any subject, including cooking, finance, gardening, and home economics. With the help of this platform not only will the problem of leisure time activities be resolved but also it will help the elder citizens to earn some income.

In Industry 4.0, the Digital twin has been widely used in industrial activities. However, the data-driven industry is placing a higher demand on digital twins, especially for the secure sharing and management of data throughout the lifecycle. As a distributed ledger technology, Blockchain is well suited to address these challenges. Unfortunately, current blockchain-based digital twin lifecycle management does not focus on data processing after the retirement stage. In this paper, we propose BDTwins, a blockchain-based digital twin lifecycle management framework, which is built based on our proposed 7D model. In this framework, we make innovative use of Non-Fungible Tokens (NFT) to process the data in the recovery stage of the digital twin. This method solves digital intellectual property disputes and inherits digital twin knowledge completely and stably after the destruction of physical entities. In addition, BDTwins has designed a fine-grained hierarchical access control policy to enable secure data sharing among stakeholders. And solves the performance bottleneck of traditional single-chain blockchain architecture by utilizing directed acyclic graph (DAG) blockchain and off-chain distributed storage. Finally, we implement a general blockchain-based digital twin case using smart contract technology to demonstrate our proposed digital twin lifecycle management framework.

This study aims to examine the effect of Islamic financial literacy on Islamic financial inclusion through the mediation of digital finance and social capital. Proportionate Stratified Random Sampling was used to select 385 samples from each of Banda Aceh City s 9 sub-districts. Afterward, the questionnaire data were analyzed using Structural Equation Modeling (SEM) in accordance with scientific standards. This study found two important things. First, Islamic financial literacy, digital finance, and social capital boost Banda Aceh s Islamic financial inclusion. Second, digital finance and social capital can mediate the effects of Islamic financial literacy on Banda Aceh s Islamic financial inclusion. This study emphasizes the need for a holistic approach, combining education, technology, and community trust to promote Islamic financial inclusion. Policymakers, educators, institutions, and community leaders can leverage these insights to contribute to a more inclusive Islamic finance ecosystem.

The backend of the processor executes the μops decoded from the frontend out of order, while the retirement is responsible for retiring completed μops in the Reorder Buffer in order. Consequently, the retirement may stall differently depending on the execution time of the first instruction in the Reorder Buffer. Moreover, since retirement is shared between two logical cores on the same physical core, an attacker can deduce the instructions executed on the other logical core by observing the availability of its own retirement. Based on this finding, we introduce two novel covert channels: the Different Instructions covert channel and the Same Instructions covert channel, which can transmit information across logical cores and possess the ability to bypass the existing protection strategies. Furthermore, this paper explores additional applications of retirement. On the one hand, we propose a new variant of Spectre v1 by applying the retirement to the Spectre attack using the principle that the fallback penalty of misprediction is related to the instructions speculated to be executed. On the other hand, based on the principle that different programs result in varied usage patterns of retirement, we propose an attack method that leverages the retirement to infer the program run by the victim. Finally, we discuss possible mitigations against new covert channels.

This study explores how AI-driven personal finance advisors can significantly improve individual financial well-being. It addresses the complexity of modern finance, emphasizing the integration of AI for informed decision-making. The research covers challenges like budgeting, investment planning, debt management, and retirement preparation. It highlights AI s capabilities in data-driven analysis, predictive modeling, and personalized recommendations, particularly in risk assessment, portfolio optimization, and real-time market monitoring. The paper also addresses ethical and privacy concerns, proposing a transparent deployment framework. User acceptance and trust-building are crucial for widespread adoption. A case study demonstrates enhanced financial literacy, returns, and overall well-being with AI-powered advisors, underscoring their potential to revolutionize financial wellness. The study emphasizes responsible implementation and trust-building for ethical and effective AI deployment in personal finance.

Digitization expansion enables business transactions operating in distributed systems encompassing Internet- and Machine-to-Everything (M2X) economies. Distributed collaboration systems growth comes at a cost of rapidly rising numbers of machines, infrastructure, machine-infrastructure traffic, and consequently a significant augmentation of associated carbon emissions. In order to investigate M2X’s carbon footprint, we design an impact index application layer using blockchain technology of smart contracts to empower a sustainable management of distributed collaboration systems. The impact measurement methodology based on transparent liquid data secures trusted inter-organizational collaborations and supports traceable standardization of sustainability regulation.