An Effective Approach to Protecting Low-Power and Lossy IoT Networks Against Blackhole Attacks

Kent Sanders, Stephen S. Yau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Realizing the applications of Internet of Things (IoT) with the goal of achieving a more efficient and automated world requires billions of connected smart devices and the minimization of hardware cost in these devices. As a result, many IoT devices do not have sufficient resources to support various protocols required in many IoT applications. Because of this, new protocols have been introduced to support the integration of these devices. One of these protocols is the increasingly popular routing protocol for low-power and lossy networks (RPL). However, this protocol is well known to attract blackhole and sinkhole attacks and cause serious difficulties when using more computationally intensive techniques to protect against these attacks, such as intrusion detection systems and rank authentication schemes. In this paper, an effective approach is presented to protect RPL networks against blackhole attacks. The approach does not address sinkhole attacks because they cause low damage and are often used along blackhole attacks and can be detected when blackhole attaches are detected. This approach uses the feature of multiple parents per node and a parent evaluation system enabling nodes to select more reliable routes. Simulations have been conducted, compared to existing approaches this approach would provide better protection against blackhole attacks with much lower overheads for small RPL networks.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Congress on Cybermatics
Subtitle of host publication2021 IEEE International Conferences on Internet of Things, iThings 2021, IEEE Green Computing and Communications, GreenCom 2021, IEEE Cyber, Physical and Social Computing, CPSCom 2021 and IEEE Smart Data, SmartData 2021
EditorsJames Zheng, Xiao Liu, Tom Hao Luan, Prem Prakash Jayaraman, Haipeng Dai, Karan Mitra, Kai Qin, Rajiv Ranjan, Sheng Wen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-72
Number of pages8
ISBN (Electronic)9781665417624
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 IEEE Congress on Cybermatics: 14th IEEE International Conferences on Internet of Things, iThings 2021, 17th IEEE International Conference on Green Computing and Communications, GreenCom 2021, 2021 IEEE International Conference on Cyber Physical and Social Computing, CPSCom 2021 and 7th IEEE International Conference on Smart Data, SmartData 2021 - Virtual, Melbourne, Australia
Duration: Dec 6 2021Dec 8 2021

Publication series

NameProceedings - IEEE Congress on Cybermatics: 2021 IEEE International Conferences on Internet of Things, iThings 2021, IEEE Green Computing and Communications, GreenCom 2021, IEEE Cyber, Physical and Social Computing, CPSCom 2021 and IEEE Smart Data, SmartData 2021

Conference

Conference2021 IEEE Congress on Cybermatics: 14th IEEE International Conferences on Internet of Things, iThings 2021, 17th IEEE International Conference on Green Computing and Communications, GreenCom 2021, 2021 IEEE International Conference on Cyber Physical and Social Computing, CPSCom 2021 and 7th IEEE International Conference on Smart Data, SmartData 2021
Country/TerritoryAustralia
CityVirtual, Melbourne
Period12/6/2112/8/21

Keywords

  • blackhole attacks
  • IoT
  • multiple parents
  • parent evaluation system
  • RPL networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Communication

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