Network anomaly detection using big data analytics (Record no. 36774)

MARC details
000 -LEADER
fixed length control field 00785nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Author Mark SHA
Classification number 006.7
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Shahzaib Afzal (403909)
245 ## - TITLE STATEMENT
Title Network anomaly detection using big data analytics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Lahore
Name of publisher (unpublished)
Date of publication 2020
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 91 p.
Dimensions ; 30 cm.
Accompanying material +CD
Illustrations : ill.
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General note Submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science
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General note Includes bibliographical references.
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General note Thesis supervisor: Mr. Imran Ahmad
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Dissertation note Thesis (MS)--Riphah International University, 2020
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Computer Science
Keywords Digital era
-- Big data
-- Cyber security
-- Anti- virus
-- Security
-- RICAS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Source of acquisition Full call number Barcode Copy number Koha item type
NOT for LOAN Lahore Raiwind Campus Lahore Raiwind Campus Riphah International University 006.7 SHA 80095 1 Thesis
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