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Quantum-resistant Encryption For Secure Voting Systems And Electoral Integrity

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Experimental Demonstration Of Multiparty Quantum Secret Sharing And Conference Key Agreement

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By Bruno Miguel Batista Pereira Bruno Miguel Batista Pereira Scilit Preprints.org Google Scholar 1, * , José Manuel Torres José Manuel Torres Scilit Preprints.org Google Scholar 1, 2, Pedro Miguel Sobral Pedro Miguel Sobral Scilit Preprints.org Google Scholar 1, 2 , Rui Silva Moreira Rui Silva Moreira Scilit Preprints.org Google Scholar 1, 2, Christophe Pinto de Almeida Soares Christophe Pinto de Almeida Soares Scilit Preprints.org Google Scholar 1, 2 and Ivo Pereira Ivo Pereira Scilit Preprints.org Google Scholar 1, 3

Cybersecurity In The Quantum Age

Interdisciplinary Research Center (ISRC), Instituto Superior de Engenharia do Porto (ISEP), Polytechnic of Porto, 4249-015 Porto, Portugal

Received: 16 March 2023 / Revised: 2 May 2023 / Accepted: 4 May 2023 / Published: 15 May 2023

Since its emergence in 2008, blockchain technology has found numerous applications in areas such as banking, supply chain management, and healthcare. One of the most interesting applications of blockchain is in voting systems, where the technology can overcome the security and transparency concerns that plague traditional voting systems. This paper provides an in-depth study of the implementation of a blockchain-based voting system. The proposed system uses cryptographic methods to protect the privacy and anonymity of voters while ensuring the verifiability and integrity of election results. Digital signatures, homomorphic encryption (He), zero-knowledge proofs (ZKP), and a Byzantine fault-tolerant consensus method support the system. The literature review on the use of blockchain technology for voting systems supports the analysis and the technical and logistical constraints associated with the implementation of the proposed system. The study offers solutions to problems such as managing voter identification and authentication, ensuring access for all voters, and dealing with network latency and scalability. The proposed blockchain-based voting system can provide a secure and transparent platform for voting and vote counting, guaranteeing the privacy, anonymity and verifiability of election results. The application of blockchain technology can overcome the security and transparency shortcomings of traditional voting systems while providing a high level of integrity and traceability.

Quantum Proof Cryptography & Its Role In Security

The adoption of a blockchain-based system for internal corporate use is emerging as a potential solution to a number of organizational difficulties. Conventional centralized systems often require a high level of trust between participants and are prone to various security and transparency challenges, including fraud, hacking and data manipulation. Blockchain technology, on the other hand, provides a distributed, decentralized and transparent platform for secure and efficient data sharing and tracking. According to Satoshi Nakamoto, the pseudonymous developer of Bitcoin, blockchain technology “allows direct online transfers from one country to another without the need for a financial institution” [1]. Since the publication of this white paper, blockchain technology has advanced beyond its initial use for Bitcoin and has been explored for various business systems.

This article offers a solution for planning university courses. It is a complex and tedious task that requires a lot of time and effort from both students and teachers. To address this problem, a system was developed that automatically generates and validates various schedule options for the university. Furthermore, the optimal solution can be selected by the professors by integrating a blockchain system. The system is divided into two main parts: (i) a grouping of constraints that act as inputs for the generation of different feasible schedules; and (ii) a blockchain voting system. The planning system consists of two types of constraints: hard constraints, which cannot be violated, and soft constraints, which can be relaxed to some extent, but are not binding. These constraints are incorporated into a genetic algorithm that generates a series of schedules that are then integrated into the blockchain voting system.

Integrating blockchain technology into the planning system provides an additional layer of security and transparency. Using a decentralized network ensures the integrity of the graph generated by the system, and any changes made to the graph can be traced back to its source. This feature is especially useful in situations where it is necessary to maintain privacy and confidentiality of data. The use of blockchain technology in the scheduling system also provides an immutable record of voted schedules that can be used for audit purposes. Overall, the integration of blockchain technology into the scheduling system provides a more secure and transparent solution for university course scheduling.

A Remote And Cost‐optimized Voting System Using Blockchain And Smart Contract

Both parts are designed to work seamlessly together, forming a single system that addresses the challenges of both electronic voting (e-voting) and scheduling. Interconnection between the two systems is achieved through the use of a common database that stores all the relevant data required by both systems. The voting system is planned to use the scheduling system to determine the optimal voting time based on the availability of voters and polling stations. On the other hand, the scheduling system is designed to use the voting system to ensure that there are no scheduled hours during the voting hours. This interrelationship ensures that the two systems work seamlessly, resulting in an efficient and effective system.

Several research studies have highlighted the importance of integrating electronic voting and scheduling systems to improve efficiency and reduce costs. For example, the study “Genetic Algorithms Applied to University Examination Planning” by Jenkins et al. [2] used genetic algorithms to optimize a university schedule, resulting in the efficient generation of high-quality schedules that meet multiple objectives, such as minimizing the number of conflicts, maximizing the number of students who can take all their exams, and reducing of the total number of required exam places. The results also show that the proposed approach in the paper can reduce the number of conflicts by up to 50% compared to previous approaches and can improve the overall quality of exam schedules.

Similarly, in the study by Deris et al. titled “Constraint-Driven Genetic Algorithm (CD-GA) for University Timetable Planning” [3], the authors solve the university timetabling problem using CD-GA and evaluate it on benchmark datasets and compare it with other scheduling algorithms. . The results show that CD-GA can generate high-quality solutions in a reasonable amount of time and is more effective and efficient than other algorithms.

Unbreakable: The Race To Protect Our Secrets From Quantum Hacks

The blockchain aspect will be the main focus of this study, although graph generation will also be considered an important component. Blockchain implementation and optimizations compared to other projects are discussed. Observing how such a project turns out in the real world can be instructive.

This document is organized as follows. Section 2 includes a literature review and related work, identifying relevant research papers and summarizing the market research, as well as a brief overview of similar projects. Section 3 describes the proposed system architecture, focusing on the scheduling system and the voting system. Section 4 discusses the use case, a real-world scenario in which the proposed system is implemented, and their results. Finally, Section 5 shows the conclusions and suggests some future activities.

Theoretical foundations are critical to understanding the motivation and potential impact of a project such as this. There is a growing interest in using genetic algorithms to solve various optimization problems, especially scheduling challenges. Because genetic algorithms can efficiently explore the solution space and find the best possible answers, they are particularly suited to optimizing problems with many alternative solutions. In addition, the use of blockchain technology for decentralized decision-making and voting systems is gaining popularity as a way to provide transparency, security and immutability in various scenarios.

Quantum Computing A Threat To Data Security

Integrating these two technologies into an academic planning system is a new method/approach to address a difficult challenge. The potential impact of this research includes optimizing academic scheduling, which can lead to better student outcomes and higher teacher satisfaction, as well as exploring the possibilities of blockchain technology in the context of decentralized decision-making systems.

Blockchain technology has grown in popularity in

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