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Machine learning approach to network intrusion detection

By:

Umer Ashraf (35648)

Material type: Text

TextPublication details: Islamabad (unpublished) 2025Description: xiv, 41+iii p. : ill. ; 30 cm. +CDSubject(s):

Electrical Engineering -- logistic regression -- Rondom forest -- Discriminant -- Prevention -- FEAS

DDC classification:

621.31 UME

Dissertation note: Thesis (MS)--Riphah International University, 2025

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	621.31 UME (Browse shelf(Opens below))	1	NOT for LOAN		102899

A dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Philosophy in the field of Electrical Engineering to Faculty of Engineering and Applied Sciences.

Includes bibliographical references

Thesis supervisor: Dr. Saqib Amin

Thesis (MS)--Riphah International University, 2025

English

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