Loading...
Please wait, while we are loading the content...
Similar Documents
A Trust-Based Intrusion Detection System for RPL Networks: Detecting a Combination of Rank and Blackhole Attacks
| Content Provider | MDPI |
|---|---|
| Author | Ioulianou, Philokypros P. Vassilakis, Vassilios G. Shahandashti, Siamak F. |
| Copyright Year | 2022 |
| Description | Routing attacks are a major security issue for Internet of Things (IoT) networks utilising routing protocols, as malicious actors can overwhelm resource-constrained devices with denial-of-service (DoS) attacks, notably rank and blackhole attacks. In this work, we study the impact of the combination of rank and blackhole attacks in the IPv6 routing protocol for low-power and lossy (RPL) networks, and we propose a new security framework for RPL-based IoT networks (SRF-IoT). The framework includes a trust-based mechanism that detects and isolates malicious attackers with the help of an external intrusion detection system (IDS). Both SRF-IoT and IDS are implemented in the Contiki-NG operating system. Evaluation of the proposed framework is based on simulations using the Whitefield framework that combines both the Contiki-NG and the NS-3 simulator. Analysis of the simulations of the scenarios under active attacks showed the effectiveness of deploying SRF-IoT with 92.8% packet delivery ratio (PDR), a five-fold reduction in the number of packets dropped, and a three-fold decrease in the number of parent switches in comparison with the scenario without SRF-IoT. Moreover, the packet overhead introduced by SRF-IoT in attack scenarios is minimal at less than 2%. Obtained results suggest that the SRF-IoT framework is an efficient and promising solution that combines trust-based and IDS-based approaches to protect IoT networks against routing attacks. In addition, our solution works by deploying a watchdog mechanism on detector nodes only, leaving unaffected the operation of existing smart devices. |
| Ending Page | 153 |
| Page Count | 30 |
| Starting Page | 124 |
| e-ISSN | 2624800X |
| DOI | 10.3390/jcp2010009 |
| Journal | Journal of Cybersecurity and Privacy |
| Issue Number | 1 |
| Volume Number | 2 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-03-09 |
| Access Restriction | Open |
| Subject Keyword | Journal of Cybersecurity and Privacy Industrial Engineering Rpl-lite Security Rpl Srf-iot Srf-of Trust Intrusion Detection System Blackhole Attack Rank Attack |
| Content Type | Text |
| Resource Type | Article |
