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Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers

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Material type: Text

TextPublication details: Lahore (unpublished) 2021Description: 69 p. : ill. ; 29.4 cm. +CDSubject(s):

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Dissertation note: Thesis (MS CS)--Riphah International University, 2021Registration no.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Lahore Raiwind Campus	004 MOB (Browse shelf(Opens below))	NOT for LOAN		58659

Includes bibliographical references

A dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science.

Thesis supervisor: Dr. Muhammad Jasim Saeed

Thesis (MS CS)--Riphah International University, 2021

Registration no.

English

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