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Enhancement of rule-based technique in detecting IOT intrusions for improving performance

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Material type: Text

TextPublication details: Islamabad 2024 (unpublished)Description: ix, 97 p. : ill., Col. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis (M.S)--Riphah International University, 2024

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	City Campus	005.8 ARS (Browse shelf(Opens below))	1	NOT for LOAN		53741

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

Includes bibliographical references.

Thesis supervisor: Ms. Engr. Komal Batool

Thesis (M.S)--Riphah International University, 2024

English

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