Network anomaly detection using big data analytics
Material type:
TextPublication details: Lahore (unpublished) 2020Description: xiii, 91 p. ; 30 cm. +CD : illSubject(s): DDC classification: - SHA 006.7
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Thesis
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Lahore Raiwind Campus | 006.7 SHA (Browse shelf(Opens below)) | 1 | NOT for LOAN | 80095 |
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| 006.7 JAC Web technologies | 006.7 LON Microsoft SharePoint Foundation 2010 | 006.7 SHA Web engineering | 006.7 SHA Network anomaly detection using big data analytics | 006.7 SIN Multimedia on the pc | 006.7 SKI Optimizing your multimedia PC | 006.7 SRI Web technology |
Submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science
Includes bibliographical references.
Thesis supervisor: Mr. Imran Ahmad
Thesis (MS)--Riphah International University, 2020
English
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