Attack Detection of Distributed Denial of Service Based on Splunk

被引：0
|
作者：
Su, Te-Jen [1 ]
Wang, Shih-Ming [1 ]
Chen, Yi-Feng [1 ]
Liu, Chao-Liang [1 ]
机构：
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, 415 Chien Kung Rd, Kaohsiung 80778, Taiwan
来源：
PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS FOR SCIENCE AND ENGINEERING (IEEE-ICAMSE 2016) | 2016年
关键词：
Attack; Distributed Denial of Service; Splunk;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This study utilizes the open source testing tool, Hping3, and the network analysis tool, Scapy, to simulate DDoS flood, reflection, and amplification attacks. We used the data generated from the attacks with the Splunk platform to conduct data analysis to quickly identify attacks and predict potential dangers that could arise. The analysis results were used in tests conducted on real network environments to determine the types of DDoS attacks. Visual IP mapping was then used to determine actions that could be taken.
引用
收藏
页码：397 / 400
页数：4
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