Feature Selection of Denial-of-Service Attacks Using Entropy and Granular Computing-Reference-Cited by-同舟云学术

Feature Selection of Denial-of-Service Attacks Using Entropy and Granular Computing

Published:2017-06-17 Issue:2 Volume:43 Page:499-508
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Khan Suleman,Gani Abdullah,Wahab Ainuddin Wahid Abdul,Singh Prem Kumar

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/article/10.1007/s13369-017-2634-8/fulltext.html

Reference40 articles.

1. Tavallaee, M.; Bagheri, E.; Lu, W.; Ghorbani, A.-A.: A detailed analysis of the KDD CUP 99 data set. In: Proceedings of the Second IEEE Symposium on Computational Intelligence for Security and Defence Applications 2009 (2009)

2. Institute, P.: 2014 Global report on the cost of cyber crime. HP Enterprise Security p. 31 (2014)

3. Yi, M.A.; Phyu, T.: Layering based network intrusion detection system to enhance network attacks detection. Int. J. Sci. Res. 2(9), 10091302 (2013)

4. Xiang, Y.; Li, K.; Zhou, W.: Low-rate DDoS attacks detection and traceback by using new information metrics. IEEE Trans. Inf. Forensics Secur. 6, 426–437 (2011)

5. Khan, S.; Shiraz, M.; Wahab, A.W.A.; Gani, A.; Han, Q.; Rahman, Z.B.A.: A comprehensive review on adaptability of network forensics frameworks for mobile cloud computing. Sci. World J. 2014, 547062 (2014). doi: 10.1155/2014/547062

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. A self-supervised anomaly detection algorithm with interpretability;Expert Systems with Applications;2024-03

3. DDoS attack detection in smart grid network using reconstructive machine learning models;PeerJ Computer Science;2024-01-09

4. Improved Feature Selection and Stream Traffic Classification Based on Machine Learning in Software-Defined Networks;IEEE Access;2024

5. Detecting DDoS Attacks on the Network Edge: An Information-Theoretic Correlation Analysis;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01