학술논문

Design of TCP SYN Flood DDoS attack detection using artificial immune systems
Document Type
Conference
Source
2016 6th International Conference on System Engineering and Technology (ICSET) System Engineering and Technology (ICSET), 2016 6th International Conference on. :72-76 Oct, 2016
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Immune system
Computer crime
Algorithm design and analysis
Floods
Servers
Microprocessors
Computer architecture
Artificial Immune System
Dendritic Cell Algorithm
DDoS
Transport Layer
Language
ISSN
2470-640X
Abstract
TCP Flood DDoS attack is one of the most commonly-used attacks. DDoS has a huge impact on the victim because DDoS attack can multiply the power of attack and makes the victim server unavailable for the normal user. Recently, there are many types of research about DDoS attacks and the detection or mitigation techniques. One of the novel methods to detect DDoS is using dendritic cell algorithm (DCA). DCA is a kind of artificial immune system in the evolutionary algorithm that can be used as an anomaly detection. The DCA is also designed to solve the problem in network intrusion detection. In this paper tries to make a design of TCP Flood DDoS attack detection using artificial immune systems, especially dendritic cell algorithm.