Detection of malicious packet dropping attacks in RPL-based internet of things
| Autor: | KyoungHoon Kim, Sooyeon Shin, Taekyoung Kwon |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Routing protocol
business.industry Computer science Network packet Computer Networks and Communications Node (networking) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Intrusion detection system IPv6 Constant false alarm rate Network simulation Hardware and Architecture business 6LoWPAN Software Computer network |
| Zdroj: | International Journal of Ad Hoc and Ubiquitous Computing. 31:133 |
| ISSN: | 1743-8233 1743-8225 |
| DOI: | 10.1504/ijahuc.2019.100085 |
| Popis: | The routing protocol for low-power and lossy networks (RPL) is an IPv6-based routing protocol optimised for internet of things (IoT) environments. However, it is susceptible to malicious packet dropping attacks. If a node with a lower rank that is closer to the root node attempts a malicious packet dropping, it may disrupt basic data transmission or even the entire IoT application service. In this paper, we present a novel detection method for malicious packet dropping attacks against RPL-based networks. The proposed method is based on the anomaly intrusion detection system and detects malicious packet dropping in the presence of normal packet losses. We evaluate the performance of the method on Contiki's network simulator, Cooja. The evaluation results show that the method has good performance in detecting malicious packet dropping attacks. In every case, the successful detection rate is greater than 94% and the false alarm rate is less than 3%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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