MICIE: A model for identifying and collecting intrusion evidences

MICIE: A model for identifying and collecting intrusion evidences

Today it is very important to maintain an intermediary level of security to ensure safe and trusted communication for daily usage. Secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuse. Unfortunately, none of the existing systems...

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Bibliographic Details
Main Authors: Ahmed, Abdulghani Ali, Kit, Yee Wai
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2017
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/18220/
http://umpir.ump.edu.my/id/eprint/18220/
http://umpir.ump.edu.my/id/eprint/18220/1/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences.pdf
http://umpir.ump.edu.my/id/eprint/18220/2/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences%201.pdf
id ump-18220
recordtype eprints
spelling ump-182202018-07-18T06:23:58Z http://umpir.ump.edu.my/id/eprint/18220/ MICIE: A model for identifying and collecting intrusion evidences Ahmed, Abdulghani Ali Kit, Yee Wai QA76 Computer software Today it is very important to maintain an intermediary level of security to ensure safe and trusted communication for daily usage. Secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuse. Unfortunately, none of the existing systems have proved to be flawless, though various approaches have been used to thwart network intrusion activities. This paper proposes an investigation Model for Identifying and Collecting Intrusion Evidences (MICIE). In particular, the proposed model MICIE comprises three main features, SNORT as IDS, MySQL as database and BASE for result viewing. These features were installed on Raspberry Pi, which was used to aid the data collection process. The results demonstrated that the proposed model is promising for identifying and collecting evidence of network intrusions in real time. IEEE 2017-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18220/1/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences.pdf pdf en http://umpir.ump.edu.my/id/eprint/18220/2/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences%201.pdf Ahmed, Abdulghani Ali and Kit, Yee Wai (2017) MICIE: A model for identifying and collecting intrusion evidences. In: 12th International Conference on Signal Image Technology and Internet-Based Systems (SITIS 2016), 28 November - 1 December 2016 , Naples, Italy. pp. 288-294.. ISBN 978-1-5090-5698-9 https://ieeexplore.ieee.org/document/7907481/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ahmed, Abdulghani Ali
Kit, Yee Wai
MICIE: A model for identifying and collecting intrusion evidences
description Today it is very important to maintain an intermediary level of security to ensure safe and trusted communication for daily usage. Secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuse. Unfortunately, none of the existing systems have proved to be flawless, though various approaches have been used to thwart network intrusion activities. This paper proposes an investigation Model for Identifying and Collecting Intrusion Evidences (MICIE). In particular, the proposed model MICIE comprises three main features, SNORT as IDS, MySQL as database and BASE for result viewing. These features were installed on Raspberry Pi, which was used to aid the data collection process. The results demonstrated that the proposed model is promising for identifying and collecting evidence of network intrusions in real time.
format Conference or Workshop Item
author Ahmed, Abdulghani Ali
Kit, Yee Wai
author_facet Ahmed, Abdulghani Ali
Kit, Yee Wai
author_sort Ahmed, Abdulghani Ali
title MICIE: A model for identifying and collecting intrusion evidences
title_short MICIE: A model for identifying and collecting intrusion evidences
title_full MICIE: A model for identifying and collecting intrusion evidences
title_fullStr MICIE: A model for identifying and collecting intrusion evidences
title_full_unstemmed MICIE: A model for identifying and collecting intrusion evidences
title_sort micie: a model for identifying and collecting intrusion evidences
publisher IEEE
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18220/
http://umpir.ump.edu.my/id/eprint/18220/
http://umpir.ump.edu.my/id/eprint/18220/1/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences.pdf
http://umpir.ump.edu.my/id/eprint/18220/2/MICIE-%20A%20Model%20for%20Identifying%20and%20Collecting%20Intrusion%20Evidences%201.pdf
first_indexed 2023-09-18T22:25:41Z
last_indexed 2023-09-18T22:25:41Z
_version_ 1777415950744682496

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