DDoS Attack Detection in SDN: Optimized Deep Convolutional Neural Network with Optimal Feature Set
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09685-z.pdf
Reference50 articles.
1. Cui, Y., Yan, L., Li, S., Xing, H., Pan, W., Zhu, J., & Zheng, X. (2016). SD-Anti-DDoS: Fast and efficient DDoS defense in software-defined networks. Journal of Network and Computer Applications, 68, 65–79.
2. Sahoo, K. S., Puthal, D., Tiwary, M., Rodrigues, J. J. P. C., Sahoo, B., & Dash, R. (2018). An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics. Future Generation Computer Systems, 89, 685–697.
3. Yu, Y., Guo, L., Liu, Y., Zheng, J., & Zong, Y. (2018). An efficient SDN-based DDoS attack detection and rapid response platform in vehicular networks. IEEE Access, 6, 44570–44579.
4. Carvalho, L. F., Abrão, T., Mendes, Ld. S., & ProençaJr, M. L. (2018). An ecosystem for anomaly detection and mitigation in software-defined networking. Expert Systems with Applications, 104, 121–133.
5. Imran, M., Durad, M. H., Khan, F. A., & Derhab, A. (2019). Toward an optimal solution against Denial of Service attacks in Software Defined Networks. Future Generation Computer Systems, 92, 444–453.
Cited by 11 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. A DoS attack detection method based on adversarial neural network;PeerJ Computer Science;2024-08-09
2. Multilevel Deep Neural Network Approach for Enhanced Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Internet of Things Networks;IEEE Internet of Things Journal;2024-07-15
3. Smart network security using advanced ensemble-DDoS attack detection and hybrid JA-SLOA-linked optimal routing-based mitigation;Australian Journal of Electrical and Electronics Engineering;2024-04-21
4. Feature-Selection-Based DDoS Attack Detection Using AI Algorithms;Telecom;2024-04-17
5. Lightweight Deep Learning Method based on Group Convolution: Detecting DDoS Attacks in IoT Environments;2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR);2024-03-16
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3