Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers
Mobin Umer (CMS# 406529)
Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers - Lahore (unpublished) 2021 - 69 p. : ill. ; 29.4 cm. +CD
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
Computer- Science
Anomaly detection--Support vector machine--Multilayer perceptron--Machine learning--Random forest--Decision tree--MS-CS--RSCI
004 / MOB
Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers - Lahore (unpublished) 2021 - 69 p. : ill. ; 29.4 cm. +CD
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
Computer- Science
Anomaly detection--Support vector machine--Multilayer perceptron--Machine learning--Random forest--Decision tree--MS-CS--RSCI
004 / MOB