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Raspberry PI-based investigation model for identifying and collecting intrusion evidences / Yee Wai Kit

By:

Yee, Wai Kit

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2016Description: xv, 65 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0001289(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Computer Science (Computer Systems & Networking) With Honours) -- Universiti Malaysia Pahang – 2016 Abstract: Nowadays it is very important to maintain an intermediary level of security to ensure safe and trusted communication of information for daily usage. However, a secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuses. None of the existing systems proved to be flawless, though various approaches being utilised for thwarting network intrusion activities, such as Denial of Service (DoS) attack, Man-in-the Middle attack and also IP address spoofing. This research proposed a system for Identifying and Collecting Intrusion Evidences (MICIE) in order to study about intrusion behaviour based on collected evidences. In particular, the proposed system 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. For the course of this research, Modified Waterfall Model is used for keeping track of the progress and to ensure that the task delegation can be fulfilled before meeting deadlines. The results demonstrated that the proposed system is promising for identifying and collecting evidence of network intrusions in real time.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	FSKKP .Y44 2016 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000117574
Final Year Report	UMPLIB PEKAN	CD 10690 \| FSKKP .Y44 2016 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000117575

Faculty of Computer Systems and Software Engineering

Project paper (Bachelor of Computer Science (Computer Systems & Networking) With Honours) -- Universiti Malaysia Pahang – 2016

Bibliography : p. 64-65

Nowadays it is very important to maintain an intermediary level of security to ensure safe and trusted communication of information for daily usage. However, a secured data communication over internet and any other network is hard to achieve due to the threat of intrusions and misuses. None of the existing systems proved to be flawless, though various approaches being utilised for thwarting network intrusion activities, such as Denial of Service (DoS) attack, Man-in-the Middle attack and also IP address spoofing. This research proposed a system for Identifying and Collecting Intrusion Evidences (MICIE) in order to study about intrusion behaviour based on collected evidences. In particular, the proposed system 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. For the course of this research, Modified Waterfall Model is used for keeping track of the progress and to ensure that the task delegation can be fulfilled before meeting deadlines. The results demonstrated that the proposed system is promising for identifying and collecting evidence of network intrusions in real time.