Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)

Phishing is an online fraudulent act that has affected many organisations. Organisation and home networks are becoming more susceptible to attacks with the emergence of more and more malicious and phishing URLs, and the increase significance of communication and data storage on the internet. Firew...

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Main Authors: Mohamad Fauzi, Mohamad Aniq Fakhrul, Abdullah, Lili Marziana
Format: Article
Language:English
Published: IIUM Press 2022
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Online Access:http://irep.iium.edu.my/101630/7/101630_Malicious_phishing%20URL%20detection%20system%20in%20a%20network.pdf
http://irep.iium.edu.my/101630/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/268/192
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.1016302022-12-06T00:59:25Z http://irep.iium.edu.my/101630/ Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS) Mohamad Fauzi, Mohamad Aniq Fakhrul Abdullah, Lili Marziana QA75 Electronic computers. Computer science QA76 Computer software Phishing is an online fraudulent act that has affected many organisations. Organisation and home networks are becoming more susceptible to attacks with the emergence of more and more malicious and phishing URLs, and the increase significance of communication and data storage on the internet. Firewall and antivirus may not be enough against such intrusion. Without a secure and efficient detection system, a local network can easily be penetrated by the attackers or unauthorized individuals. Several existing network intrusion detection products are available out there, but those systems are usually integrated with largescale hardware and difficult for the public to set up, use readily and carry everywhere. This paper reports on a system development project to design and develop a cross-platform malicious/phishing URL detection system, referred to as Netbits. Netbits, built using Django framework based on Python language and installed on Raspberry Pi, can monitor network traffic flow for any malicious activities in real-time. The simulation carried out in a network environment and testing performed showed that Netbits system can detect malicious activities and display the infected scans. Nevertheless, more enhancements may be required before rolling out Netbits to the public. IIUM Press 2022-07-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/101630/7/101630_Malicious_phishing%20URL%20detection%20system%20in%20a%20network.pdf Mohamad Fauzi, Mohamad Aniq Fakhrul and Abdullah, Lili Marziana (2022) Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS). International Journal on Perceptive and Cognitive Computing (IJPCC), 8 (2). pp. 30-36. E-ISSN 2462-229X https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/268/192 10.31436/ijpcc.v8i2
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Mohamad Fauzi, Mohamad Aniq Fakhrul
Abdullah, Lili Marziana
Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
description Phishing is an online fraudulent act that has affected many organisations. Organisation and home networks are becoming more susceptible to attacks with the emergence of more and more malicious and phishing URLs, and the increase significance of communication and data storage on the internet. Firewall and antivirus may not be enough against such intrusion. Without a secure and efficient detection system, a local network can easily be penetrated by the attackers or unauthorized individuals. Several existing network intrusion detection products are available out there, but those systems are usually integrated with largescale hardware and difficult for the public to set up, use readily and carry everywhere. This paper reports on a system development project to design and develop a cross-platform malicious/phishing URL detection system, referred to as Netbits. Netbits, built using Django framework based on Python language and installed on Raspberry Pi, can monitor network traffic flow for any malicious activities in real-time. The simulation carried out in a network environment and testing performed showed that Netbits system can detect malicious activities and display the infected scans. Nevertheless, more enhancements may be required before rolling out Netbits to the public.
format Article
author Mohamad Fauzi, Mohamad Aniq Fakhrul
Abdullah, Lili Marziana
author_facet Mohamad Fauzi, Mohamad Aniq Fakhrul
Abdullah, Lili Marziana
author_sort Mohamad Fauzi, Mohamad Aniq Fakhrul
title Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
title_short Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
title_full Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
title_fullStr Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
title_full_unstemmed Malicious/phishing URL detection system in a network with Raspberry Pi (NETBITS)
title_sort malicious/phishing url detection system in a network with raspberry pi (netbits)
publisher IIUM Press
publishDate 2022
url http://irep.iium.edu.my/101630/7/101630_Malicious_phishing%20URL%20detection%20system%20in%20a%20network.pdf
http://irep.iium.edu.my/101630/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/268/192
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