An evaluation of security features for preventing illegal distribution of digital content using quantitative methods

In the current digital landscape, safeguarding digital content from unauthorized sharing is of paramount importance. This study concerns three key issues: the prevalent unauthorized sharing of content, user dissatisfaction with existing security measures, and the lack of alignment between expert opi...

Full description

Bibliographic Details
Main Authors: Muhammad Isma Farhan, Mohd Raza, Mazlina, Abdul Majid, Ajra, Husnul, Islam, Md. Shohidul, Aziman, Abdullah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2025
Subjects:
Online Access:https://umpir.ump.edu.my/id/eprint/45877/
_version_ 1848827518359961600
author Muhammad Isma Farhan, Mohd Raza
Mazlina, Abdul Majid
Ajra, Husnul
Islam, Md. Shohidul
Aziman, Abdullah
author_facet Muhammad Isma Farhan, Mohd Raza
Mazlina, Abdul Majid
Ajra, Husnul
Islam, Md. Shohidul
Aziman, Abdullah
author_sort Muhammad Isma Farhan, Mohd Raza
building UMP Institutional Repository
collection Online Access
description In the current digital landscape, safeguarding digital content from unauthorized sharing is of paramount importance. This study concerns three key issues: the prevalent unauthorized sharing of content, user dissatisfaction with existing security measures, and the lack of alignment between expert opinions and user perceptions. This research addresses three critical problem statements. Firstly, it seeks to identify the current security features utilized to prevent the unauthorized distribution of digital content. Secondly, it aims to assess user perceptions of these features through a meticulously constructed survey; and lastly, the study endeavors to compare findings from a thorough literature review with user perceptions. Methodologically, this research encompasses an exhaustive literature review and a user perception survey to gain insights into effective security measures and recommendations for enhancement. The expected outcomes include a more profound understanding of the effectiveness of current security measures and suggestions for enhancing digital content protection. Through this study, it has been emphasized the significance of digital content security and put forward collaborative avenues for improvement.
first_indexed 2025-11-15T04:01:59Z
format Conference or Workshop Item
id ump-45877
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T04:01:59Z
publishDate 2025
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling ump-458772025-10-06T06:50:35Z https://umpir.ump.edu.my/id/eprint/45877/ An evaluation of security features for preventing illegal distribution of digital content using quantitative methods Muhammad Isma Farhan, Mohd Raza Mazlina, Abdul Majid Ajra, Husnul Islam, Md. Shohidul Aziman, Abdullah QA75 Electronic computers. Computer science In the current digital landscape, safeguarding digital content from unauthorized sharing is of paramount importance. This study concerns three key issues: the prevalent unauthorized sharing of content, user dissatisfaction with existing security measures, and the lack of alignment between expert opinions and user perceptions. This research addresses three critical problem statements. Firstly, it seeks to identify the current security features utilized to prevent the unauthorized distribution of digital content. Secondly, it aims to assess user perceptions of these features through a meticulously constructed survey; and lastly, the study endeavors to compare findings from a thorough literature review with user perceptions. Methodologically, this research encompasses an exhaustive literature review and a user perception survey to gain insights into effective security measures and recommendations for enhancement. The expected outcomes include a more profound understanding of the effectiveness of current security measures and suggestions for enhancing digital content protection. Through this study, it has been emphasized the significance of digital content security and put forward collaborative avenues for improvement. IEEE 2025 Conference or Workshop Item PeerReviewed pdf en https://umpir.ump.edu.my/id/eprint/45877/1/An_Evaluation_of_Security_Features_for_Preventing_Illegal_Distribution_of_Digital_Content_Using_Quantitative_Methods.pdf Muhammad Isma Farhan, Mohd Raza and Mazlina, Abdul Majid and Ajra, Husnul and Islam, Md. Shohidul and Aziman, Abdullah (2025) An evaluation of security features for preventing illegal distribution of digital content using quantitative methods. In: Proceedings of 2025 4th International Conference on Computing and Information Technology, ICCIT 2025. 4th International Conference on Computing and Information Technology, ICCIT 2025 , 13-14 April 2025 , Tabuk, Saudi Arabia. pp. 84- 91.. ISBN 979-8-3503-5384-6 (Published) https://doi.org/10.1109/ICCIT63348.2025.10989437 2025 4th International Conference on Computing and Information Technology (ICCIT) 2025 4th International Conference on Computing and Information Technology (ICCIT)
spellingShingle QA75 Electronic computers. Computer science
Muhammad Isma Farhan, Mohd Raza
Mazlina, Abdul Majid
Ajra, Husnul
Islam, Md. Shohidul
Aziman, Abdullah
An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title_full An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title_fullStr An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title_full_unstemmed An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title_short An evaluation of security features for preventing illegal distribution of digital content using quantitative methods
title_sort evaluation of security features for preventing illegal distribution of digital content using quantitative methods
topic QA75 Electronic computers. Computer science
url https://umpir.ump.edu.my/id/eprint/45877/
https://umpir.ump.edu.my/id/eprint/45877/
https://umpir.ump.edu.my/id/eprint/45877/