Electronic Theses and Dissertations

Identifier

6744

Date

2021

Date of Award

7-7-2021

Document Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Committee Chair

Dipankar Dasgupta

Committee Member

Mohd. Hasan Ali

Committee Member

Deepak Venugopal

Abstract

Today, due to the increase in usages of huge communication devices and connections, network services are improving expeditiously. From 1G to 4G, the network aid unable to cover all the expectations required for a vast network. A scaling up new technology, 5G, provides more capabilities of connecting billions of devices simultaneously. In this study, to analyze the network performance of 5G, a couple of network parameters (frequency, distance) have been adjusted. Besides, Distributed Denial of Service attacks were tested on the proposed 5G network. The individual simulation outcomes were compared and generated multiple results of application throughput. From the results, increasing the DoS attacks reduces the application throughput drastically. Later the simulated data used to create a DDoS dataset for the classification purpose. Support Vector Machine (SVM), K-Nearest Neighbor(KNN), and Naive Bayes (NB) were employed for the classification where KNN performs impressively well over SVM and NB with high accuracy.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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