Improving the Efficiency of Genetic-Based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection

Conference proceeding

Omar Alghushairy, Raed Alsini, Xiaogang Ma and Terence Soule

ADVANCES IN ARTIFICIAL INTELLIGENCE AND APPLIED COGNITIVE COMPUTING, pp.1011-1027

Transactions on Computational Science and Computational Intelligence

01/01/2021

Abstract

Computer Science

Computer Science, Artificial Intelligence

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

Mathematics

Mathematics, Applied

Physical Sciences

Science & Technology

Technology

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Title: Improving the Efficiency of Genetic-Based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection
Creators - without role: Omar Alghushairy - University of Idaho
Raed Alsini - University of Idaho
Xiaogang Ma - University of Idaho
Terence Soule - University of Idaho
Contributors - without role: H R Arabnia
K Ferens
D DeLaFuente
E B Kozerenko
JAO Varela
F G Tinetti
Publication Details: ADVANCES IN ARTIFICIAL INTELLIGENCE AND APPLIED COGNITIVE COMPUTING, pp.1011-1027
Series: Transactions on Computational Science and Computational Intelligence
Publisher: Springer Nature
Number of pages: 17
Identifiers: 9933109408331
Academic Unit: University of Jeddah; King Abdulaziz University
Language: English
Resource Type: Conference proceeding