Knowledge based intrusion detection and prevention Model for Biometric system Arjunwadkar, Maithili Vijay English
Material type: TextPublication details: Pune 2013Description: 213pSubject(s): DDC classification:- 006.4 ARJ TH-64
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode |
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Thesis (Phd) | Symbiosis International University Central Library | Reference | 006.4 ARJ TH-64 (Browse shelf(Opens below)) | Not For Loan (Restricted Access) | Available for consultation in the library | siu-th-64 |
Present research is related modern biometric technologies claim to provide alternative solutions to traditional authentication process. The intrusion detection is an essential supplement of traditional security system. Research suggested rule based intelligent. A detected intrusiion from first agent is used to decide priorities of detected intrusion which can assist security administrator or database administrator to take preventive measures.
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