IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail

Nowadays, people all over the world like to store their data over the Internet because it is easy for them to retrieve and store it. Unfortunately, they are exposed to the cyber-crime like data theft because of the lack of security in their device. People usually did not have a security tool for the...

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Main Author: Ismail, Muhammad Khairie
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/107904/1/107904.pdf
https://ir.uitm.edu.my/id/eprint/107904/
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spelling my.uitm.ir.1079042025-01-18T23:58:52Z https://ir.uitm.edu.my/id/eprint/107904/ IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail Ismail, Muhammad Khairie Computer crimes Nowadays, people all over the world like to store their data over the Internet because it is easy for them to retrieve and store it. Unfortunately, they are exposed to the cyber-crime like data theft because of the lack of security in their device. People usually did not have a security tool for their network. To prevent data theft, we need to monitor and identify the packet, which is appropriate in the network. It is important to prevent the malicious packet from going through the network because it may affect the privacy’s data of the user. IDSpoof was developed to monitor the network packet and expected to have the functionality of the system. The methodology was used to develop the project using research framework. After this project is developed, the IDSpoof is expected to be used by the user and the result demonstrate successful decrement of data theft among the user. Then, user network will be more secured and protectable. 2020 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/107904/1/107904.pdf IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail. (2020) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/107904.pdf>
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 Computer crimes
spellingShingle Computer crimes
Ismail, Muhammad Khairie
IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
description Nowadays, people all over the world like to store their data over the Internet because it is easy for them to retrieve and store it. Unfortunately, they are exposed to the cyber-crime like data theft because of the lack of security in their device. People usually did not have a security tool for their network. To prevent data theft, we need to monitor and identify the packet, which is appropriate in the network. It is important to prevent the malicious packet from going through the network because it may affect the privacy’s data of the user. IDSpoof was developed to monitor the network packet and expected to have the functionality of the system. The methodology was used to develop the project using research framework. After this project is developed, the IDSpoof is expected to be used by the user and the result demonstrate successful decrement of data theft among the user. Then, user network will be more secured and protectable.
format Thesis
author Ismail, Muhammad Khairie
author_facet Ismail, Muhammad Khairie
author_sort Ismail, Muhammad Khairie
title IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
title_short IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
title_full IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
title_fullStr IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
title_full_unstemmed IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
title_sort idspoof: intrusion detection to detect malware / muhammad khairie ismail
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/107904/1/107904.pdf
https://ir.uitm.edu.my/id/eprint/107904/
_version_ 1823097836369084416
score 13.235796