Augmented whale feature selection for IoT attacks: Structure, analysis and applications-Reference-Cited by-同舟云学术

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Augmented whale feature selection for IoT attacks: Structure, analysis and applications

Published:2020-11 Issue: Volume:112 Page:18-40
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Mafarja Majdi,Heidari Ali Asghar,Habib Maria,Faris Hossam,Thaher Thaer,Aljarah Ibrahim

Funder

Birzeit University, Palestine

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference97 articles.

1. GARTNER Inc Gartner Insights on How to Lead in a Connected World;Hung,2017

2. Internet of Things security and forensics: Challenges and opportunities;Conti,2018

3. SAS Institute Inc IoT security;Mishra,2017

4. Internet of things (IoT) security: Current status, challenges and prospective measures;Mahmoud,2015

5. Cybercrimes investigation and intrusion detection in Internet of Things based on data science methods;Hemdan,2018

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2. Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges;Swarm and Evolutionary Computation;2024-10

3. Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm;International Journal of Machine Learning and Cybernetics;2024-08-10

4. An amalgamated correlation and regression based feature selection with ensemble learning approach for IoT network attack detection;Internet Technology Letters;2024-07-29

5. BOC-PDO: an intrusion detection model using binary opposition cellular prairie dog optimization algorithm;Cluster Computing;2024-07-20

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