DDoS detection and defense mechanism based on packet analysis and machine learning / Mohd Azahari Mohd Yusof

Mohd Yusof, Mohd Azahari (2019) DDoS detection and defense mechanism based on packet analysis and machine learning / Mohd Azahari Mohd Yusof. PhD thesis, Universiti Teknologi MARA (UiTM).

Abstract

DDoS attacks are one of the most serious threats nowadays. It is an attack launched by an attacker using various source of IP addresses to disrupt a network or IoT environment. There are several types of DDoS attacks such as TCP SYN flood, UDP flood, ICMP/Ping flood, Ping of Death, Smurf, Slowloris, HTTP flood, Zero-day attack and SIDDoS which can be launched by attackers for a specific purpose.

Metadata

Item Type: Thesis (PhD)
Creators:
Creators
Email / ID Num.
Mohd Yusof, Mohd Azahari
2014716511
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohd Ali, Fakariah Hani
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Doctor of Philosophy (Computer Science) - CS950
Keywords: DDoS attacks, IP addresses, network
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/82909
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