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Anomaly based intrusion detection using fuzzy association rules Saeed Ul Hassan

By: Hassan , Saeed Ul (MSCS-6)Publisher: Rawalpindi MCS,NUST May 2006Description: xi, 62, pSubject(s): PG Thesis | MSCS -6DDC classification: 005.1

Contents:

Introduction (page-1) Literature oveview (page-5) Methodology (page-14) Experimentation (page-21) Results and analysis (page-33)Conclusion (page-44)

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Item type	Current location	Home library	Collection	Call number	URL	Status	Date due	Barcode	Item holds
Book	Military College of Signals (MCS)	Military College of Signals (MCS)	NFIC	005.1 HAS (Browse shelf)	Link to resource	Available		MCSTCS-237
Book	Military College of Signals (MCS)	Military College of Signals (MCS)	NFIC	005.1 HAS (Browse shelf)	Link to resource	Available		MCSTCS-97

Total holds: 0

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Previous	005.1 HAS Proof ammunition, acceptance, reproof & rejection criteria for ammunition	005.1 HAS Two dimensional digital image compression using wavelet transform	005.1 HAS Two dimensional digital image compression using wavelet transform	005.1 HAS Anomaly based intrusion detection using fuzzy association rules	005.1 HAS Anomaly based intrusion detection using fuzzy association rules	005.1 HAS Real - Time 3D rendering engine (Hard / Softcopy)	005.1 HAS Automated trafficability model (Hard / Soft-copy)	Next

Introduction (page-1) Literature oveview (page-5) Methodology (page-14) Experimentation (page-21) Results and analysis (page-33)Conclusion (page-44)

Almirah No 73 Shelf No 2

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