A Machine Learning approach for anomaly detection on the Internet of Things based on Locality-Sensitive Hashing-Reference-Cited by-同舟云学术

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A Machine Learning approach for anomaly detection on the Internet of Things based on Locality-Sensitive Hashing

Published:2024-05 Issue: Volume:96 Page:102159
ISSN:0167-9260
Container-title:Integration
language:en
Short-container-title:Integration

Author:

Hernandez-Jaimes Mireya Lucia,Martinez-Cruz Alfonso,Ramírez-Gutiérrez Kelsey Alejandra^ORCID

Funder

Consejo Nacional de Ciencia y Tecnología

Consejo Nacional de Ciencia y Tecnología, Guatemala

Publisher

Elsevier BV

Reference24 articles.

1. Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review;Mishra;IEEE Access,2021

2. Internet of Things Global Standards Initiative;International Telecommunication Union,2015

3. International Business Machines Corporation, What is the Internet of Things?, Tech. Rep., IBM, n.d. URL.

4. State of IoT—Spring 2023 Report;Analytics,2023

5. Tech Trends 2022;Deloitte,2022

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