IoT Botnet Detection Using an Economic Deep Learning Model. (arXiv:2302.02013v3 [cs.CR] UPDATED)

The rapid progress in technology innovation usage and distribution has
increased in the last decade. The rapid growth of the Internet of Things (IoT)
systems worldwide has increased network security challenges created by
malicious third parties. Thus, reliable intrusion detection and network
forensics systems that consider security concerns and IoT systems limitations
are essential to protect such systems. IoT botnet attacks are one of the
significant threats to enterprises and individuals. Thus, this paper proposed
an economic deep learning-based model …

attacks botnet challenges deep learning detection distribution economic enterprises forensics growth innovation internet internet of things intrusion intrusion detection iot iot botnet malicious network network forensics network security progress protect rapid security security challenges systems technology technology innovation things third third parties threats