A new feature popularity framework for detecting cyberattacks using popular features

A new feature popularity framework for detecting cyberattacks using popular features

Abstract We propose a novel feature popularity framework, and introduce this new framework to the cybersecurity domain. Feature popularity has not yet been used in machine learning or data mining, and we implement it with three web attacks from the CSE-CIC-IDS2018 dataset: Brute Force, SQL Injection...

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Bibliographic Details
Main Authors: Richard Zuech, John Hancock, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Big Data
Subjects:
Feature popularity
Feature similarity
Feature selection
Intrusion detection
Web attacks
Online Access:https://doi.org/10.1186/s40537-022-00661-9

Internet

https://doi.org/10.1186/s40537-022-00661-9

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