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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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 |
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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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