Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali

This project is using a honeypot as a tool to detect internal network attack at Faculty of Information Technology and Quantitative Science, (FTMSK). The purpose of this project is to know how secure the FTMSK internal network is. Honeypots are used to detect attack that enables the automated dete...

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Main Author: Azali, Muhamad Rizal
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/1695/1/PPb_MUHAMAD%20RIZAL%20AZALI%20CS%2005_5%20P01.pdf
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spelling my-uitm-ir.16952019-07-22T02:51:48Z Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali 2005 Azali, Muhamad Rizal Electronic Computers. Computer Science This project is using a honeypot as a tool to detect internal network attack at Faculty of Information Technology and Quantitative Science, (FTMSK). The purpose of this project is to know how secure the FTMSK internal network is. Honeypots are used to detect attack that enables the automated detection from any malicious and unknown attack over the internal network. We classify the attack at the lecturer's computers by using different tools of honeypots and make analysis of it. This project is used the Windows platform as the operating system that match with the honeypots tools. We tested and compared among of many honeypots tools and concluded that KFsensor is the best honeypot tool. We also defined the advantages of used the different tools of the honeypot. The research found the internal network of FTMSK is secured and if connection made by other host will detect. This project also gave the information for lecturers to know how secured their computers are. IV 2005 Thesis https://ir.uitm.edu.my/id/eprint/1695/ https://ir.uitm.edu.my/id/eprint/1695/1/PPb_MUHAMAD%20RIZAL%20AZALI%20CS%2005_5%20P01.pdf text en public degree Universiti Teknologi MARA Perpustakaan Tun Abdul Razak
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
spellingShingle Electronic Computers
Computer Science
Azali, Muhamad Rizal
Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
description This project is using a honeypot as a tool to detect internal network attack at Faculty of Information Technology and Quantitative Science, (FTMSK). The purpose of this project is to know how secure the FTMSK internal network is. Honeypots are used to detect attack that enables the automated detection from any malicious and unknown attack over the internal network. We classify the attack at the lecturer's computers by using different tools of honeypots and make analysis of it. This project is used the Windows platform as the operating system that match with the honeypots tools. We tested and compared among of many honeypots tools and concluded that KFsensor is the best honeypot tool. We also defined the advantages of used the different tools of the honeypot. The research found the internal network of FTMSK is secured and if connection made by other host will detect. This project also gave the information for lecturers to know how secured their computers are. IV
format Thesis
qualification_level Bachelor degree
author Azali, Muhamad Rizal
author_facet Azali, Muhamad Rizal
author_sort Azali, Muhamad Rizal
title Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
title_short Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
title_full Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
title_fullStr Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
title_full_unstemmed Using honeypots to detect internal attacks at FTMSK / Muhamad Rizal Azali
title_sort using honeypots to detect internal attacks at ftmsk / muhamad rizal azali
granting_institution Universiti Teknologi MARA
granting_department Perpustakaan Tun Abdul Razak
publishDate 2005
url https://ir.uitm.edu.my/id/eprint/1695/1/PPb_MUHAMAD%20RIZAL%20AZALI%20CS%2005_5%20P01.pdf
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