PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS

<p>Denial of service attacks (DoS) are a common threat to many online services. These attacks aim to overcome the availability of an online service with massive traffic from multiple sources. By spoofing legitimate users, an attacker floods a target system with a high quantity of packets or connections to crash its network resources, bandwidth, equipment, or servers. Packet filtering methods are the most known way to prevent these attacks via identifying and blocking the spoofed attack from reaching its target. In this project, the extent of the DoS attacks problem and attempts to prevent it are explored. The attacks categories and existing countermeasures based on preventing, detecting, and responding are reviewed. Henceforward, a neural network learning algorithms and statistical analysis are utilized into the designing of our proposed packet filtering system.</p>

Name thesis:degree_name

Master of Science in Computer Science

Level thesis:degree_level

Project

Discipline thesis:degree_discipline

School of Computer Science and Engineering

Year dc:date.available

2016

Author dc:creator

• Muharish, Essa Yahya M

Contributors dc:contributor

• Wu, Zhengping

• Denial-of-service (DoS). Internet Control Message Protocol (ICMP). User Datagram Protocol (UDP). Open Systems Interconnection Layers Attacks (OSI). Self-Organize-Map (SOM). Multilayer perceptron (MLP).
• Information Security
• OS and Networks
• Systems Architecture
• Theory and Algorithms

Repository record dc:identifier

https://scholarworks.lib.csusb.edu/etd/342

OAI identifier oai:identifier

oai:scholarworks.lib.csusb.edu:etd-1397