| Title | ML-based NIDS to secure RPL from Routing Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Kareem, Mohammed Aman, Tayeb, Shahab |
| Conference Name | 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) |
| Keywords | 6LoWPAN, Bibliographies, composability, Conferences, IoT, LLNs, NIDS for RPL, Protocols, pubcrawl, Real-time Systems, Resiliency, Routing, RPL, security, Topology |
| Abstract | Low power and lossy networks (LLNs) devices resource-constrained nature make it difficult to implement security mechanisms to defend against RPL routing attacks. RPLs inbuilt security functions are not efficient in preventing a wide majority of routing attacks. RPLs optional security schemes can defend against external attacks, but cannot mitigate internal attacks. Moreover, RPL does not have any mechanism to verify the integrity of control messages used to keep topology updated and route the traffic. All these factors play a major role in increasing the RPLs threat level against routing attacks. In this paper, a comparative literature review of various researchers suggesting security mechanisms to mitigate security attacks aimed at RPL has been performed and methods have been contrasted. |
| DOI | 10.1109/CCWC51732.2021.9375844 |
| Citation Key | kareem_ml-based_2021 |
ML-based NIDS to secure RPL from Routing Attacks