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Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir

This project focuses on enhancing the precision and recall rates of community-based intrusion detection systems, specifically targeting SQL injection attacks within the context of Snort. The study involves the integration of modified rules employing PCRE (Perl Compatible Regular Expressions) and fas...

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Main Authors: Noor Mohamad, Nur Athirah, Abu Othman, Noor Ashitah, Mohd Supir, Mohd Hafifi
Format: Article
Language:English
Published: College of Computing, Informatics, and Mathematics 2024
Subjects:
Integer programming
Online Access:https://ir.uitm.edu.my/id/eprint/105867/1/105867.pdf
https://ir.uitm.edu.my/id/eprint/105867/
https://fskmjebat.uitm.edu.my/pcmj/
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spelling my.uitm.ir.1058672025-02-18T17:43:33Z https://ir.uitm.edu.my/id/eprint/105867/ Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir Noor Mohamad, Nur Athirah Abu Othman, Noor Ashitah Mohd Supir, Mohd Hafifi Integer programming This project focuses on enhancing the precision and recall rates of community-based intrusion detection systems, specifically targeting SQL injection attacks within the context of Snort. The study involves the integration of modified rules employing PCRE (Perl Compatible Regular Expressions) and fast pattern matching to improve the accuracy and performance of the intrusion detection system. Experimental results demonstrate a notable reduction in false positives and a perfect recall rate, showcasing the efficacy of the enhanced rules. The virtualized testing environment, comprising a Snort-protected server, a simulated attacker using Kali Linux and Metasploitable 2, and a vulnerable system facilitates a thorough evaluation of Snort's response to cyber threats. While acknowledging limitations and the controlled nature of the testing, this research emphasizes the importance of leveraging advanced technologies to fortify intrusion detection systems against evolving cybersecurity challenges. The incorporation of PCRE and fast pattern matching stands as a significant contribution to improving rule matching accuracy and overall system efficiency in the dynamic landscape of cybersecurity. College of Computing, Informatics, and Mathematics 2024-10 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/105867/1/105867.pdf Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir. (2024) Progress in Computer and Mathematics Journal (PCMJ) <https://ir.uitm.edu.my/view/publication/Progress_in_Computer_and_Mathematics_Journal_=28PCMJ=29/>, 1. pp. 124-137. ISSN 3030-6728 (Submitted) https://fskmjebat.uitm.edu.my/pcmj/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Integer programming
spellingShingle Integer programming
Noor Mohamad, Nur Athirah
Abu Othman, Noor Ashitah
Mohd Supir, Mohd Hafifi
Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
description This project focuses on enhancing the precision and recall rates of community-based intrusion detection systems, specifically targeting SQL injection attacks within the context of Snort. The study involves the integration of modified rules employing PCRE (Perl Compatible Regular Expressions) and fast pattern matching to improve the accuracy and performance of the intrusion detection system. Experimental results demonstrate a notable reduction in false positives and a perfect recall rate, showcasing the efficacy of the enhanced rules. The virtualized testing environment, comprising a Snort-protected server, a simulated attacker using Kali Linux and Metasploitable 2, and a vulnerable system facilitates a thorough evaluation of Snort's response to cyber threats. While acknowledging limitations and the controlled nature of the testing, this research emphasizes the importance of leveraging advanced technologies to fortify intrusion detection systems against evolving cybersecurity challenges. The incorporation of PCRE and fast pattern matching stands as a significant contribution to improving rule matching accuracy and overall system efficiency in the dynamic landscape of cybersecurity.
format Article
author Noor Mohamad, Nur Athirah
Abu Othman, Noor Ashitah
Mohd Supir, Mohd Hafifi
author_facet Noor Mohamad, Nur Athirah
Abu Othman, Noor Ashitah
Mohd Supir, Mohd Hafifi
author_sort Noor Mohamad, Nur Athirah
title Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
title_short Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
title_full Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
title_fullStr Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
title_full_unstemmed Enhancing community SQL injection rule in intrusion detection system using snort with email notifications / Nur Athirah Noor Mohamad, Noor Ashitah Abu Othman and Mohd Hafifi Mohd Supir
title_sort enhancing community sql injection rule in intrusion detection system using snort with email notifications / nur athirah noor mohamad, noor ashitah abu othman and mohd hafifi mohd supir
publisher College of Computing, Informatics, and Mathematics
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/105867/1/105867.pdf
https://ir.uitm.edu.my/id/eprint/105867/
https://fskmjebat.uitm.edu.my/pcmj/
_version_ 1825165082677477376
score 13.239859

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