DDoS detection and defense mechanism based on packet analysis and machine learning / Mohd Azahari Mohd Yusof
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,...
Saved in:
Main Author: | Mohd Yusof, Mohd Azahari |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Online Access: | https://ir.uitm.edu.my/id/eprint/82909/1/82909.pdf https://ir.uitm.edu.my/id/eprint/82909/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DDoS mitigation: a review of content delivery network and its DDoS defense techniques
by: Imthiyas, Mohammed, et al.
Published: (2020) -
A review of DDoS attacks and defenses in IoT.
by: Mohd. Sam, Suriani, et al.
Published: (2022) -
Evaluation of boruta algorithm in DDoS detection
by: Noor Farhana, Mohd Zuki, et al.
Published: (2023) -
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
by: Dheyab, Saad Ahmed, et al.
Published: (2022) -
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
by: Dheyab, Saad Ahmed, et al.
Published: (2022)