IDEAS home Printed from https://ideas.repec.org/a/taf/tcybxx/v8y2022i1p1-31.html
   My bibliography  Save this article

SEVA: Secure E-Voting Application in Cyber Physical System

Author

Listed:
  • Rahul Johari
  • Arvinder Kaur
  • Mohammad Hashim
  • Prateek Kumar Rai
  • Kanika Gupta

Abstract

Election is the right of every citizen. The exercise of this right through the election is a very expensive mechanism. The people of the constituency, where the elections are to be held, are usually given a day off, so that they can vote. But still many people do not vote. To overcome this problem, an application: ”SEVA: Secure E-Voting Application” in Cyber Physical System is hereby proposed which gives the voters the ability to cast their votes over the web from any remote location of the world. The proposed application deployed on the cloud has been designed and developed using cutting edge technologies like Azure Service Fabric using Microservice architecture. The application is deployed on the Five-Node cluster using Server Fabric Local Cluster for demonstration.

Suggested Citation

  • Rahul Johari & Arvinder Kaur & Mohammad Hashim & Prateek Kumar Rai & Kanika Gupta, 2022. "SEVA: Secure E-Voting Application in Cyber Physical System," Cyber-Physical Systems, Taylor & Francis Journals, vol. 8(1), pages 1-31, January.
  • Handle: RePEc:taf:tcybxx:v:8:y:2022:i:1:p:1-31
    DOI: 10.1080/23335777.2020.1837250
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23335777.2020.1837250
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23335777.2020.1837250?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tcybxx:v:8:y:2022:i:1:p:1-31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcyb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.