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Enhanced Cyber Security in IoT Using Deep Belief Network

Über Enhanced Cyber Security in IoT Using Deep Belief Network

It is incredible how the entire world is totally dependent on the data. Data generation as how human speak and it is also true that they consume data through every possible medium. With the frequent and regular updates and upgrades in technology, human beings have witnessed the growth of smart devices unlike any. We have also seen a significant increase in the usage of the Internet of Things (IoT) and for some of us, it has been an integral part of daily life. Hence, it wouldn't be surprised when we realize that the IoT devices we are using are vulnerable to various malicious attacks. These IoT devices are elemental in both design and security. Their intrinsic design frailty is exploited during firmware attacks and their low-level network security is easily penetrated during the cyber-attacks. One such common cyber-attack is Distributed Denial of Services (DDoS) and the proposed work aims to address this against a network of IoT devices.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786205634103
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 56
  • Veröffentlicht:
  • 24. Januar 2023
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 102 g.
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Beschreibung von Enhanced Cyber Security in IoT Using Deep Belief Network

It is incredible how the entire world is totally dependent on the data. Data generation as how human speak and it is also true that they consume data through every possible medium. With the frequent and regular updates and upgrades in technology, human beings have witnessed the growth of smart devices unlike any. We have also seen a significant increase in the usage of the Internet of Things (IoT) and for some of us, it has been an integral part of daily life. Hence, it wouldn't be surprised when we realize that the IoT devices we are using are vulnerable to various malicious attacks. These IoT devices are elemental in both design and security. Their intrinsic design frailty is exploited during firmware attacks and their low-level network security is easily penetrated during the cyber-attacks. One such common cyber-attack is Distributed Denial of Services (DDoS) and the proposed work aims to address this against a network of IoT devices.

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