Improving the voting system has become a widely discussed issue. Paper-based elections are not safe because of the possibility of changing and adding ballots. Consequently, many countries use e-voting systems to ensure security, authenticity and time efficiency. Blockchain e-voting systems can be adopted to reduce fraud and increase voting access from home, especially in pandemics. This paper suggests a blockchain e-voting system that tackles two security and authentication issues. The security has been ensured using hybrid public-key cryptography; the voter information is encrypted using the regional election office elliptic public key, while the homomorphic public supreme election authority encrypts the vote. Using homomorphic encryption for voice enables the calculations of results as the authority encrypts it without revealing the vote itself. Authentication has been improved for home voting by a robust login system. This login system consists of two steps. In the first step, the voter enters the site using his unique QR code number scanned by webcam; in the second step, the system checks the voter's face using a face recognition system by web camera to be routed to the voting page. Voting public keys are also authenticated using a digital certificate schema. The system has been tested to show its efficiency and suitability in block establishment time and the encryption and key generator randomness using NIST tests.
Developing a solid e-voting system that offers fairness and privacy for users is a challenging objective. This paper is trying to address whether blockchain can be used to build an efficient e-voting system, also, this research has specified four blockchain technologies with their features and limitations. Many papers have been reviewed in a study covered ten years from 2011 to 2020. As a result of the study, the blockchain platform can be a successful public ledger to implement an e-voting system. Four blockchain technologies have been noticed from this study. These are blockchain using smart contracts, blockchain relying on Zcash platform, blockchain programmed from scratch, and blockchain depending on digital signature. Each blockchain model has details about its features and limitations. Finally, this study suggests developing a blockchain platform that can avoid limitations of currently used blockchain platforms by ensuring authentication, privacy, security for remote e-voting processes.
IoT-based healthcare solutions have transformed patient care and improved results. These technologies capture and store sensitive patient data, raising security and privacy concerns. The paper first discusses IoT-based healthcare system security issues. It evaluates cyber threats, system unavailability, and vulnerabilities attackers can use to get patient data. The report also tackles IoT-based healthcare system privacy issues such illegal data access and sharing and patient data breach concerns. The study proposes numerous frameworks and solutions to protect patient data in IoT-based healthcare systems. Blockchain technology can increase data security and privacy by offering a transparent, decentralized, tamperresistant database. The report also discusses differential privacy, a statistical method that adds noise to sensitive patient data to protect privacy. The study also examines how AI and ML can detect and mitigate security vulnerabilities in IoT-based healthcare systems. The study also emphasizes the need for uniform security and privacy standards to protect patient data across healthcare companies. The report stresses the importance of integrating security and privacy into IoT-based healthcare systems from the start. In conclusion, the study emphasizes security and privacy in IoT-based healthcare systems and the problems of protecting patient data. It explores standardized security and privacy protocols and many frameworks and solutions to address these issues.
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