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A novel approach towards tamper detection of digital holy Quran generation

Quran phrases are found in many Arabic websites. Lamentably, many mistakes and typos appear on most of the websites embedded with Quran texts. Therefore, it becomes very difficult to recognize the legal document of the religious book, whether the online document is tampered or not. Hence, verifying...

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Main Authors: Islam, Md. Milon, Kabir, M. Nomani, Sadi, Muhammad Sheikh, Morsalin, Md. Istiak, Haque, Ahsanul, Wang, Jing
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2020
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/29300/1/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf
http://umpir.ump.edu.my/id/eprint/29300/2/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf
http://umpir.ump.edu.my/id/eprint/29300/
https://doi.org/10.1007/978-981-15-2317-5_25
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spelling my.ump.umpir.293002020-09-24T01:19:34Z http://umpir.ump.edu.my/id/eprint/29300/ A novel approach towards tamper detection of digital holy Quran generation Islam, Md. Milon Kabir, M. Nomani Sadi, Muhammad Sheikh Morsalin, Md. Istiak Haque, Ahsanul Wang, Jing QA75 Electronic computers. Computer science Quran phrases are found in many Arabic websites. Lamentably, many mistakes and typos appear on most of the websites embedded with Quran texts. Therefore, it becomes very difficult to recognize the legal document of the religious book, whether the online document is tampered or not. Hence, verifying the Quran expression has become a crucial issue for most of the online users who read the digital copy. We propose a novel approach for the tamper detection of a digital document of the Holy Quran. We have implemented a desktop application, having modified UI that utilizes Jaro-Winkler distance and Difflib function as String Edit distance algorithm to highlight the words in the Holy Quran for the verification purpose. A reliable and trustworthy Quran database was taken for testing. The results obtained from the application show higher performance. The system achieved the detection accuracy of 95.9% and 95% by Jaro-Winkler and Difflib, respectively along with the precision of 93.29% and 96% in the case of diacritics. Additionally, F-score is 93.22% and 96.41% obtained by Jaro-Winkler and Difflib, respectively in the case of no diacritics. Springer 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29300/1/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf pdf en http://umpir.ump.edu.my/id/eprint/29300/2/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf Islam, Md. Milon and Kabir, M. Nomani and Sadi, Muhammad Sheikh and Morsalin, Md. Istiak and Haque, Ahsanul and Wang, Jing (2020) A novel approach towards tamper detection of digital holy Quran generation. In: 5th International Conference On Electrical, Control And Computer Engineering (INECCE2019), 29-30 July 2019 , Kuantan, Pahang, Malaysia. pp. 297-308., 632. ISSN 1876-1100 https://doi.org/10.1007/978-981-15-2317-5_25 doi:10.1007/978-981-15-2317-5_25
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Islam, Md. Milon
Kabir, M. Nomani
Sadi, Muhammad Sheikh
Morsalin, Md. Istiak
Haque, Ahsanul
Wang, Jing
A novel approach towards tamper detection of digital holy Quran generation
description Quran phrases are found in many Arabic websites. Lamentably, many mistakes and typos appear on most of the websites embedded with Quran texts. Therefore, it becomes very difficult to recognize the legal document of the religious book, whether the online document is tampered or not. Hence, verifying the Quran expression has become a crucial issue for most of the online users who read the digital copy. We propose a novel approach for the tamper detection of a digital document of the Holy Quran. We have implemented a desktop application, having modified UI that utilizes Jaro-Winkler distance and Difflib function as String Edit distance algorithm to highlight the words in the Holy Quran for the verification purpose. A reliable and trustworthy Quran database was taken for testing. The results obtained from the application show higher performance. The system achieved the detection accuracy of 95.9% and 95% by Jaro-Winkler and Difflib, respectively along with the precision of 93.29% and 96% in the case of diacritics. Additionally, F-score is 93.22% and 96.41% obtained by Jaro-Winkler and Difflib, respectively in the case of no diacritics.
format Conference or Workshop Item
author Islam, Md. Milon
Kabir, M. Nomani
Sadi, Muhammad Sheikh
Morsalin, Md. Istiak
Haque, Ahsanul
Wang, Jing
author_facet Islam, Md. Milon
Kabir, M. Nomani
Sadi, Muhammad Sheikh
Morsalin, Md. Istiak
Haque, Ahsanul
Wang, Jing
author_sort Islam, Md. Milon
title A novel approach towards tamper detection of digital holy Quran generation
title_short A novel approach towards tamper detection of digital holy Quran generation
title_full A novel approach towards tamper detection of digital holy Quran generation
title_fullStr A novel approach towards tamper detection of digital holy Quran generation
title_full_unstemmed A novel approach towards tamper detection of digital holy Quran generation
title_sort novel approach towards tamper detection of digital holy quran generation
publisher Springer
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/29300/1/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf
http://umpir.ump.edu.my/id/eprint/29300/2/A%20Novel%20Approach%20Towards%20Tamper%20Detection%20of%20Digital%20Holy%20Quran%20Generation.pdf
http://umpir.ump.edu.my/id/eprint/29300/
https://doi.org/10.1007/978-981-15-2317-5_25
_version_ 1680321225674457088
score 13.211869

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