Implementation and Analysis of an Improved PCA technique for DDoS Detection

作者: Sonam Salaria , Sakshi Arora , Nishita Goyal , Pooja Goyal , Shifaly Sharma

DOI: 10.1109/ICCCA49541.2020.9250912

关键词:

摘要: With ever-increasing numbers of IoT devices becoming an essential part our everyday life, the risk compromised data security has grown many folds. SDN is state-of-the-art technology in networking domain. Combined with IoT, it provides centralized control to controller enabling better management traffic and prevention certain DDoS attacks layer 3 7 OSI model. But network makes vulnerable a new type attack which targets itself, thereby bringing entire down. This paper presents improved Principal Component Analysis (PCA) technique weighted principal components counter this attack. The partitioned into different subnets PCA applied each independently. proposed method helped targeted at or switch 95.24% accuracy contrast 92.3% previous scheme.

参考文章(17)
Xiao Qiang Di, Hua Min Yang, Hui Qi, Low-Rate Application-Layer DDoS Attacks Detection by Principal Component Analysis (PCA) through User Browsing Behavior Applied Mechanics and Materials. ,vol. 397-400, pp. 1945- 1948 ,(2013) , 10.4028/WWW.SCIENTIFIC.NET/AMM.397-400.1945
H. Sun, Y. Zhaung, H. J. Chao, A Principal Components Analysis-Based Robust DDoS Defense System 2008 IEEE International Conference on Communications. pp. 1663- 1669 ,(2008) , 10.1109/ICC.2008.321
Rui Wang, Zhiping Jia, Lei Ju, An Entropy-Based Distributed DDoS Detection Mechanism in Software-Defined Networking trust, security and privacy in computing and communications. ,vol. 1, pp. 310- 317 ,(2015) , 10.1109/TRUSTCOM.2015.389
Scapy–A Python Tool For Security Testing Journal of Computer Science & Systems Biology. ,vol. 8, pp. 140- 159 ,(2015) , 10.4172/JCSB.1000182
M. Ejaz Ahmed, Hyoungshick Kim, DDoS Attack Mitigation in Internet of Things Using Software Defined Networking international conference on big data. pp. 271- 276 ,(2017) , 10.1109/BIGDATASERVICE.2017.41
Neelam Dayal, Shashank Srivastava, Analyzing behavior of DDoS attacks to identify DDoS detection features in SDN communication systems and networks. pp. 274- 281 ,(2017) , 10.1109/COMSNETS.2017.7945387
Constantinos Kolias, Georgios Kambourakis, Angelos Stavrou, Jeffrey Voas, DDoS in the IoT: Mirai and Other Botnets Computer. ,vol. 50, pp. 80- 84 ,(2017) , 10.1109/MC.2017.201
Angelo Spognardi, Michele De Donno, Nicola Dragoni, Alberto Giaretta, Analysis of DDoS-capable IoT malwares federated conference on computer science and information systems. ,vol. 11, pp. 807- 816 ,(2017) , 10.15439/2017F288
Christos Liaskos, Sotiris Ioannidis, Network Topology Effects on the Detectability of Crossfire Attacks IEEE Transactions on Information Forensics and Security. ,vol. 13, pp. 1682- 1695 ,(2018) , 10.1109/TIFS.2018.2799425