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A deep learning driven intrusion detection mechanism to tackle evolving cyber threats in emerging lots environments

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Material type: Text

TextPublication details: Islamabad (unpublished) 2020Description: x, 57 p. : ill. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis(M.Phil)--Riphah International University, 2020

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	City Campus - II	005.8 TAI (Browse shelf(Opens below))	1	NOT for LOAN		53338

Previous		No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	005.8 STU The web application hacker's handbook	005.8 SUN Implementation of cryptographic module for data security in system on chip	005.8 TAH Malicious javascript detection techniques using machine learning	005.8 TAI A deep learning driven intrusion detection mechanism to tackle evolving cyber threats in emerging lots environments	005.8 TAL Exposing window's vulnerability through customized payload using dynamic data exchange protocol	005.8 TAR Design and implementation of lightweight privacy extension of DNSSEC protocol	005.8 TAR Security analysis of smart card based mutual authentication for physical access control	Next

Submitted in fulfillment of the requirements for the degree of Master of Science in Information Security to the Faculty of Computing.

Includes bibliographical references.

Thesis supervisor: Mr. Syed Muhammad Sajjad

Thesis(M.Phil)--Riphah International University, 2020

English

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