CHOOSING PARAMETERS FOR DETECTING DDOS ATTACK

被引：0

作者：

Pu, Shi ^{[1
]}

机构：

[1] Neijiang Normal Univ, Network Management Ctr, Neijiang 641002, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (LCWAMTIP) | 2012年

关键词：

DDoS; SYN flood; CUSUM; Pcap;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

DDoS attack has always been a major threat for information security. Realizing the complexity and difficulty in dest-end detection, researchers have switched their focus on "source-end detection". And CUSUM is considered an efficient method in source-end detection. However, there is no guidance about how to choose the parameters in CUSUM, which dramatically affect the performance of detections. So this article discusses and simulates the selection of these parameters, to provide reference for further research.

引用

页码：239 / 242

页数：4

共 50 条

[1] Detecting bandwidth DDoS attack with control charts
Santos, Anderson Fernandes P.
Silva, Renato S.
2007 15TH IEEE INTERNATIONAL CONFERENCE ON NETWORKS, 2007, : 252 - +
[2] A novel Approach for Detecting DDoS Attack in MANET
Gautam, Divya
Tokekar, Vrinda
MATERIALS TODAY-PROCEEDINGS, 2020, 29 : 674 - 677
[3] Detecting DDoS Attack With Hilbert-Huang Transformation
Zheng Kangfeng
Wang Xiujuan
Yang Yixian
Guo Shize
CHINA COMMUNICATIONS, 2011, 8 (02) : 126 - 133
[4] Detecting and Mitigating DDoS Attack in Named Data Networking
Alhisnawi, Mohammad
Ahmadi, Mahmood
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2020, 28 (04) : 1343 - 1365
[5] Detecting DDoS attack based on PSO Clustering algorithm
Hao, Xiaohong
Meng, Boyu
Gu, Kaicheng
PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 670 - 674
[6] Detecting and Mitigating DDoS Attack in Named Data Networking
Mohammad Alhisnawi
Mahmood Ahmadi
Journal of Network and Systems Management, 2020, 28 : 1343 - 1365
[7] Lifting the Smokescreen: Detecting Underlying Anomalies During a DDoS Attack
Ricks, Brian
Thuraisingham, Bhavani
Tague, Patrick
2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2018, : 130 - 135
[8] The Research of DDoS Attack Detecting Algorithm Based on the Feature of the Traffic
Feng, Jiang
Liu, Yuan
2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, 2009, : 4619 - +
[9] Detecting DDoS attack based on multi-class SVM
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
Dianzi Keji Diaxue Xuebao, 2008, 2 (274-277): : 274 - 277
[10] Detecting DDOS attack based on network self-similarity
Xiang, Y
Lin, Y
Lei, WL
Huang, SJ
IEE PROCEEDINGS-COMMUNICATIONS, 2004, 151 (03): : 292 - 295

← 1 2 3 4 5 →