TY - GEN
T1 - An Effective Approach to Protecting Low-Power and Lossy IoT Networks Against Blackhole Attacks
AU - Sanders, Kent
AU - Yau, Stephen S.
N1 - Funding Information:
The research reported here was partially supported by the National Science Foundation SFS CyberCorps Scholarship Program with the grant number 1663651.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - blackhole attacks
KW - IoT
KW - multiple parents
KW - parent evaluation system
KW - RPL networks
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U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00025
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00025
M3 - Conference contribution
AN - SCOPUS:85127384046
T3 - Proceedings - 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
SP - 65
EP - 72
BT - Proceedings - IEEE Congress on Cybermatics
A2 - Zheng, James
A2 - Liu, Xiao
A2 - Luan, Tom Hao
A2 - Jayaraman, Prem Prakash
A2 - Dai, Haipeng
A2 - Mitra, Karan
A2 - Qin, Kai
A2 - Ranjan, Rajiv
A2 - Wen, Sheng
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 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
Y2 - 6 December 2021 through 8 December 2021
ER -