A Secure and Transparent Voting System Leveraging Ubiquitous Computing and Blockchain Technology

Year : 2024 | Volume : 11 | Issue : 02 | Page : 9 13
    By

    Deekshith S.M.,

  1. Student, Department of MCA, RV College of Engineering, Bangalore, Karnataka, India

Abstract

Ubiquitous computing and blockchain technology are two pivotal innovations driving significant changes in the digital world. This article explores the intersection of these technologies, analyzing how their combination can unlock new opportunities and address existing challenges. Ubiquitous computing envisions seamlessly integrating computing capabilities into everyday objects and environments, aiming to enhance user experience and efficiency. Meanwhile, blockchain technology, known for its decentralized and secure nature, offers robust solutions for transparency, trust, and immutability. The integration of ubiquitous computing and blockchain technology has the potential to revolutionize numerous industries. For instance, in smart energy grids, IoT devices can monitor energy usage, while blockchain ensures transparent transactions between consumers and producers, facilitating peer-to-peer energy trading and promoting renewable energy. In supply chain management, integration enables real-time tracking and verification of goods, improving transparency and minimizing the risk of counterfeiting. Similarly, in health care, IoT devices collect patient data that blockchain can securely store, ensuring privacy and integrity while enabling seamless access to medical histories. The article also addresses the challenges of integrating these technologies, such as scalability, interoperability, and security issues. We examine the need for standardized protocols and the development of efficient consensus mechanisms to handle the vast amounts of data generated by IoT devices. By examining real-world case studies such as smart cities, decentralized autonomous organizations (DAOs), and secure voting systems, we demonstrate the transformative potential of combining ubiquitous computing with blockchain technology. These examples demonstrate how this integration can enhance transparency, security, and efficiency across various domains. Finally, this article highlights future research directions, stressing the necessity of creating robust frameworks to facilitate the seamless integration of these technologies. By addressing these challenges and leveraging their synergies, ubiquitous computing and blockchain can jointly contribute to a more secure, transparent, and efficient digital future.

Keywords: Ubiquitous computing, blockchain technology, secure voting system, internet of things, IoT, smart cities, decentralized autonomous organizations, DAOs, smart energy grids, supply chain management

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Deekshith S.M.. A Secure and Transparent Voting System Leveraging Ubiquitous Computing and Blockchain Technology. Journal of Advancements in Robotics. 2024; 11(02):9-13.
How to cite this URL:
Deekshith S.M.. A Secure and Transparent Voting System Leveraging Ubiquitous Computing and Blockchain Technology. Journal of Advancements in Robotics. 2024; 11(02):9-13. Available from: https://journals.stmjournals.com/joarb/article=2024/view=155738


References

  1. Wang S, Zhang D, Zhang Y. Blockchain-based personal health records sharing scheme with data integrity verifiable. IEEE Access. 2019; 7: 102887–102901.
  2. Weiser M. The computer for the 21st century. Sci Am. 1991; 265 (3): 94–105.
  3. Nakamoto S. Bitcoin: A peer-to-peer electronic cash system. Bitcoin [Internet]. 2008; 4(2):15. [Online] Available at https://bitcoin.org/bitcoin.pdf
  4. Christidis K, Sikeridis D, Wang Y, Devetsikiotis M. A framework for designing and evaluating realistic blockchain-based local energy markets. Appl Energy. 2021; 281: 115963.
  5. Alshareef R, Al Zahrani A, Alzahrani A, Ghandoura L. Impact of the COVID-19 lockdown on diabetes patients in Jeddah, Saudi Arabia. Diabetes Metab Syndr. 2020; 14 (5): 1583–1587.
  6. Cagnano A, De Tuglie E, Marcone F, Porro G, Rasolomampionona DD, Klos M, et al. Experimental results on the economic management of a smart microgrid. In: 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON); 2020 Jun 16–18; Palermo, Italy: IEEE. 459–463 p.
  7. Ding C. Risk assessment of physical and chemical analysis laboratory based on the laboratory risk assessment model. In: 2021 2nd International Conference on Urban Engineering and Management Science (ICUEMS); 2021 Jan 29–31; Sanya, China: IEEE. 293–296 p.
  8. Sami MA, Wagner K, Parikh P, Hassan U. Smartphone based microfluidic biosensor for leukocyte quantification at the point-of-care. In: 2019 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT); 2019 Nov 20–22; Bethesda, MD, USA: IEEE. 119–122 p.
  9. Kulkarni MG, Cheeran AN, Ray KP, Kakatkar SS. Design and implementation of CPW low pass filter with good filter selectivity and sharpness factor. In: 2018 3rd International Conference on Microwave and Photonics (ICMAP); 2018 Feb 9–11; Dhanbad, India: IEEE. 1–2 p.
  10. Korobeynikov SM, Krivosheev SI, Magazinov SG, Loman VA, Ya N. Suppression of incoming high-frequency overvoltage in transformer coils. IEEE Trans Power Delivery. 2020; 36 (5): 2988–2994.

Regular Issue Subscription Review Article
Volume 11
Issue 02
Received 03/05/2024
Accepted 10/06/2024
Published 09/07/2024



My IP

PlumX Metrics