A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
DDoS Attacks Detection in the IoT Using Deep Gaussian-Bernoulli Restricted Boltzmann Machine
2022
Modern Applied Science
Distributed denial of service (DDoS) attack is generally known as one of the most significant threats to the internet of things (IoT). Current detection technologies of DDoS attacks are not adequate for IoT systems because of the peculiar features of IoT such as resource constraint nodes, specific network architecture, and specific network protocols. Providing adequate DDoS attacks detection systems to IoT, however, becomes a necessity since IoT is ubiquitous. This study hence developed a deep
doi:10.5539/mas.v16n2p12
fatcat:lypnayzjzrhbrfdn7iqnqvtizy