Multi-level Gaussian mixture modeling for detection of malicious network traffic
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-020-03447-z.pdf
Reference31 articles.
1. McAfee Labs (2019) McAfee Labs threats report, pp. 1–60. https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-aug-2019.pdf. Accessed 14 May 2020
2. Truong D, Tran D, Nguyen L, Mac H, Tran H, Bui T (2019) Detecting web attacks using stacked denoising autoencoder and ensemble learning methods. In: ACM Int. Conf. Proceeding Series pp 267–272. https://doi.org/10.1145/3368926.3369715
3. Shah S, Issac B (2018) Performance comparison of intrusion detection systems and application of machine learning to Snort system. Future Generation Computer Systems 80:157–170. https://doi.org/10.1016/j.future.2017.10.016
4. Tavallaee M, Bagheri E, Lu W, Ghorbani A (2009) A detailed analysis of the KDD CUP 99 dataset. In: Proc. of IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA), Ottawa, Canada. https://doi.org/10.1109/CISDA.2009.5356528
5. Moustafa N, Slay J (2015) UNSW-NB15: a comprehensive data set for network intrusion detection systems. In: Proc. of IEEE Military Communications and Information Systems Conference (MilCIS), Canberra, Australia, pp 10–15. https://doi.org/10.1109/MilCIS.2015.7348942
Cited by 13 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. DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization;ACM Transactions on Privacy and Security;2024-08-29
2. A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching;Journal of Cloud Computing;2024-02-03
3. Unknown DDoS Attack Detection with Fuzzy C-Means Clustering and Spatial Location Constraint Prototype Loss;Computers, Materials & Continua;2024
4. Revolutionizing Malware Detection: Feature-Based Approach for Targeting Diverse Malware Categories;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11
5. Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection;EURASIP Journal on Wireless Communications and Networking;2023-07-26
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