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Local outlier factor and stronger one class classifier based hierarchical model for detection of attacks in network intrusion detection dataset

  • Published:2016-04-18 Issue:4 Volume:10 Page:755-766
  • ISSN:2095-2228
  • Container-title:Frontiers of Computer Science
  • language:en
  • Short-container-title:Front. Comput. Sci.

Author:

Vasudevan Alampallam Ramaswamy,Selvakumar Subramanian

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Cited by 12 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. DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection;2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW);2023-05

2. A Brief Review of Network Forensics Process Models and a Proposed Systematic Model for Investigation;Intelligent Cyber Physical Systems and Internet of Things;2023

3. Towards an Optimized Ensemble Feature Selection for DDoS Detection Using Both Supervised and Unsupervised Method;Sensors;2022-11-25

4. Obtrusion Detection Using Hybrid Cloud Models;Proceedings of the Third International Conference on Information Management and Machine Intelligence;2022-08-04

5. An enhanced local outlier detection using random walk on grid information graph;The Journal of Supercomputing;2022-04-04
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