A novel data mining and machine learning-based framework for cyber security intrusion detection /
Title
A novel data mining and machine learning-based framework for cyber security intrusion detection /
Subject
Bio-Medical Engineering
Description
Patent Number: 202231027007, Applicant: Lingaraj Sethi.
This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics supporting intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of emerging practice, papers representing each method were identified, read, and summarised. Because data are so crucial in ML/DM approaches, some well- known cyber data sets used in ML/DM are described.
This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics supporting intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of emerging practice, papers representing each method were identified, read, and summarised. Because data are so crucial in ML/DM approaches, some well- known cyber data sets used in ML/DM are described.
Creator
Gupta, Chabi.
Publisher
Intellectual Property India
Date
2022
Language
English
Type
Patent
Collection
Citation
Gupta, Chabi., “A novel data mining and machine learning-based framework for cyber security intrusion detection /,” CHRIST (Deemed To Be University) Institutional Repository, accessed July 27, 2024, https://archives.christuniversity.in/items/show/2727.