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The following sections of this paper are organized as: Nowadays, connected devices are progressively integrating our lifestyle, known as the internet of things (iot). Intrusions in networks are considered to be an activity occurring on digital networks in an illegal manner.
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The large amount of data present in the iot and its transparent nature attract various attackers. The emergence of the internet of medical things (iomt) is revolutionizing healthcare delivery, but also introducing critical challenges to cybersecurity and patient safety. They steal the network's confidential data and resources in the which in turn.
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Therefore, several intrusion detection systems (idss) relies on approaches of machine learning (ml) and deep learning (dl) have been suggested to detect malicious.
There are several domains where these iot can be found,. Smart cities leverage technologies such as cloud computing, the internet of things (iot), artificial intelligence (ai), and data analytics to collect and analyze data on various. The rapid growth of the internet of things (iot) has changed different industrial sectors, along with introducing significant cybersecurity challenges due to the increasing number of. The increasing difficulties in protecting internet of things networks are the motivation behind this research.
Section 2 furnishes background information pertaining to smart cities, encompassing their benefits and architecture. With the rapid adoption of iot devices across sectors like smart homes, healthcare,.
