A N-binary Classification and Grouping-based Approach to Improve the Performance of Anomaly Detection
Volume: 47, Issue: 2, Pages: 1275 - 1287
Published: Jun 30, 2021
Abstract
In today’s world, the growth of computer networks is exponential as networking is an essential part of the latest technologies like Internet of Things (IoT), cloud computing, edge computing, etc., with the adoption of new technologies; security has become an important issue for such techniques. These networks need to be saved from a wide range of available attacks. In the literature, many intrusion detection systems (IDS) are used to detect such...
Paper Details
Title
A N-binary Classification and Grouping-based Approach to Improve the Performance of Anomaly Detection
Published Date
Jun 30, 2021
Volume
47
Issue
2
Pages
1275 - 1287
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History