Intruder identification using feed forward encasement-based parameters for cybersecurity along with IoT devices-Reference-Cited by-同舟云学术

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Intruder identification using feed forward encasement-based parameters for cybersecurity along with IoT devices

Published:2024-04 Issue: Volume:32 Page:101035
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Sudharsanan R.,Rekha M.,Pritha N.,Ganapathy G.,Arokia Nerling Rasoni G.,Uthayakumar G.S.

Publisher

Elsevier BV

Reference12 articles.

1. QoS enhancement with deep learning-based interference prediction in mobile IoT;Zafar;Comput. Commun.,2019

2. Blockchain for managing heterogeneous Internet of Things: a perspective architecture;Tseng;IEEE Netw,2020

3. Providing secure and reliable communication for next generation networks in smart cities;Al Ridhawi;Sustain. Cities Soc.,2020

4. Using machine learning to secure IoT systems;Canedo,2016

5. Internet of Things: a survey on enabling technologies, protocols and applications;Al-Fuqaha;IEEE Commun. Surveys Tuts.,2015

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