Two-Layer Approach for Mixed High-Rate and Low-Rate Distributed Denial of Service (DDoS) Attack Detection and Filtering
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-018-3236-9/fulltext.html
Reference20 articles.
1. Gui, L.; Zhou, Y.; Xu, R.; He, Y.; Lu, Q.: Learning representations from heterogeneous network for sentiment classification of product reviews. Knowl. Based Syst. 124, 34–45 (2017)
2. Zhi-Jun, W.; Hai-Tao, Z.; Ming-Hua, W.; Bao-Song, P.: MSABMS-based approach of detecting LDoS attack. Comput. Secur. 31(4), 402–417 (2012)
3. Ding, K.; Li, Y.; Quevedo, D.E.; Dey, S.; Shi, L.: A multi-channel transmission schedule for remote state estimation under DoS attacks. Automatica 78, 194–201 (2017)
4. Bhuyan, M.H.; Bhattacharyya, D.K.; Kalita, J.K.: An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection. Pattern Recognit. Lett. 51, 1–7 (2015)
5. Fouladi, R.F.; Kayatas, C.E.; Anarim, E.: Frequency based DDoS attack detection approach using naive Bayes classification, In: 2016 39th International Conference on Telecommunications and Signal Processing (TSP), pp. 104–107 (2016)
Cited by 31 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 novel framework of DDoS attack detection in network using hybrid heuristic deep learning approaches with attention mechanism;Journal of High Speed Networks;2024-05-10
2. Research Direction Towards Distributed Denial of Service Atttack Detection Algorithms for Enhancing Network Security;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20
3. ATTACK TYPES IN NETWORK ENVIRONMENT: ATTACK SCENARIO EXAMPLES;İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi;2023-08-21
4. An efficient IDS for slow rate HTTP/2.0 DoS Attacks using one class classification;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07
5. On an Integrated Security Framework for Defense Against Various DDoS Attacks in SDN;2023 International Conference on Computing, Networking and Communications (ICNC);2023-02-20
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