A new model for security analysis of network anomalies for IoT devices

In the era of IoT gaining traction, attacks on IoT-enabled devices are the order of the day that emanates the need for more protected IoT networks. IoT's key feature deals with massive amounts of data sensed by numerous heterogeneous IoT devices. Numerous machine learning techniques ar...

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Bibliographic Details
Main Authors: Mohammad Al Rawajbeh, Wael Alzyadat, Khalid Kaabneh, Suha Afaneh, Dima Farhan Alrwashdeh, Hamdah Samih Albayaydah, ssam Hamad AlHadid
Format: Article
Language:English
Published: Growing Science 2023-01-01
Series:International Journal of Data and Network Science
Online Access:http://www.growingscience.com/ijds/Vol7/ijdns_2023_61.pdf