Grin logo
en de es fr
Shop
GRIN Website
Publicación mundial de textos académicos
Go to shop › Ciencia de la Computación - IT-Security

Analyzing Online Voting Systems for Flaw Detection

Título: Analyzing Online Voting Systems for Flaw Detection

Trabajo de Investigación , 2015 , 16 Páginas , Calificación: A

Autor:in: Md. Shamsur Rahim (Autor), AZM Ehtesham Chowdhury (Autor)

Ciencia de la Computación - IT-Security
Extracto de texto & Detalles   Leer eBook
Resumen Extracto de texto Detalles

This research paper contains several case studies concerning online voting manipulation. Case studies data are analyzed to discover how computer technology is used to manipulate voting in Social Media.

The study found that there are many potential weaknesses that should be treated as highly hazardous for online voting. We believe that, if these weaknesses can be resolved then online voting will be more trustworthy as well widely acceptable.

Extracto


Inhaltsverzeichnis (Table of Contents)

  • Introduction
  • Background Study
  • Case Studies
    • Case 1: Photo Contest in Facebook
    • Case 2: Voting through Tweets on Twitter using Hashtag
    • Case 3: YouTube Video Contest
    • Case 4: Product Review in E-Commerce Sites
    • Case 5: Google Form's Poll Manipulation
  • Findings
  • Possible Characteristics of Futuristic Voting System

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This research paper analyzes the manipulation of online voting contests held on social media platforms like Facebook, Twitter, and YouTube. It examines case studies to identify vulnerabilities and potential weaknesses in existing systems.

  • The security and integrity of online voting systems
  • The use of social media platforms for online contests
  • Methods of vote manipulation, including fake accounts and bots
  • The need for more robust and secure online voting systems
  • The potential for online voting systems to be used in national elections

Zusammenfassung der Kapitel (Chapter Summaries)

  • Introduction: This chapter introduces the topic of online voting contests and highlights the concerns regarding the security and fairness of these systems. The paper argues that online voting systems need to be more secure to ensure accurate results and widespread acceptance.
  • Background Study: This chapter provides a general overview of online contests, social media features such as "Like" and "Hashtag", and the concept of fake accounts and internet bots.
  • Case Studies: This section presents five case studies that demonstrate how online voting can be manipulated. Each case study focuses on a different social media platform and type of online contest.

Schlüsselwörter (Keywords)

This research paper focuses on the security and integrity of online voting systems, particularly in the context of social media platforms. Key concepts explored include online voting contests, online election systems, social media manipulation, case studies, and vote manipulation.

Final del extracto de 16 páginas  - subir

Detalles

Título
Analyzing Online Voting Systems for Flaw Detection
Calificación
A
Autores
Md. Shamsur Rahim (Autor), AZM Ehtesham Chowdhury (Autor)
Año de publicación
2015
Páginas
16
No. de catálogo
V307331
ISBN (Ebook)
9783668057203
ISBN (Libro)
9783668057210
Idioma
Inglés
Etiqueta
online voting voting manipulation onlineabstimmung wahlmanipulation wahlfälschung
Seguridad del producto
GRIN Publishing Ltd.
Citar trabajo
Md. Shamsur Rahim (Autor), AZM Ehtesham Chowdhury (Autor), 2015, Analyzing Online Voting Systems for Flaw Detection, Múnich, GRIN Verlag, https://www.grin.com/document/307331
Leer eBook
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
Extracto de  16  Páginas
Grin logo
  • Grin.com
  • Page::Footer::PaymentAndShipping
  • Contacto
  • Privacidad
  • Aviso legal
  • Imprint