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DDoS Detection and Prevention In Internet of Things

EasyChair Preprint no. 2486

7 pagesDate: January 29, 2020


Internet of Things (IoT) has appeared to be a continuously-growing networking field in the technological era that is based on a wireless network that connects a large number of smart devices and people. It is a machine to machine communication network and it reduces the human aspect of maintenance. With the rapid development in this emerging world, where devices are smart and communicate with each other, they become vulnerable to different attacks against their security and privacy. Among these attacks, Distributed Denial of Service (DDoS) is an attack that infiltrates from different sources and it is responsible for blocking the internet usage for legitimate user, making network resources unavailable along with unnecessary bandwidth consumption and network congestion, which is more disruptive for IoT environment. This paper intends to discuss and review different detection and prevention techniques against DDoS attacks in IoT.

Keyphrases: DDoS, detection, IDS, IoT, Prevention, Techniques

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ammarah Irum and Muazzam A. Khan and Amna Noor and Balawal Shabir},
  title = {DDoS Detection and Prevention In Internet of Things},
  howpublished = {EasyChair Preprint no. 2486},

  year = {EasyChair, 2020}}
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