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

By: Material type: TextTextPublication details: Islamabad (unpublished) 2020Description: x, 57 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.8 TAI
Dissertation note: Thesis(M.Phil)--Riphah International University, 2020
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis City Campus - II 005.8 TAI (Browse shelf(Opens below)) 1 NOT for LOAN 53338

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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