| Title | Neighbor-Passive Monitoring Technique for Detecting Sinkhole Attacks in RPL Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Alzubaidi, Mahmood, Anbar, Mohammed, Hanshi, Sabri M. |
| Conference Name | Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5392-2 |
| Keywords | 6LoWPAN, Collaboration, composability, Internet of Things, intrusion detection system, ipv6 security, Metrics, pubcrawl, Resiliency, RPL, Sinkhole attack, WSN |
| Abstract | Internet Protocol version 6 (IPv6) over Low-power Wireless Personal Area Networks (6LoWPAN) is extensively used in wireless sensor networks due to its capability to transmit IPv6 packets with low bandwidth and limited resources. 6LoWPAN has several operations in each layer. Most existing security challenges are focused on the network layer, which is represented by the Routing Protocol for Low-power and Lossy Networks (RPL). 6LoWPAN, with its routing protocol (RPL), usually uses nodes that have constrained resources (memory, power, and processor). In addition, RPL messages are exchanged among network nodes without any message authentication mechanism, thereby exposing the RPL to various attacks that may lead to network disruptions. A sinkhole attack utilizes the vulnerabilities in an RPL and attracts considerable traffic by advertising falsified data that change the routing preference for other nodes. This paper proposes the neighbor-passive monitoring technique (NPMT) for detecting sinkhole attacks in RPL-based networks. The proposed technique is evaluated using the COOJA simulator in terms of power consumption and detection accuracy. Moreover, NPMT is compared with popular detection mechanisms. |
| URL | http://doi.acm.org/10.1145/3168390.3168439 |
| DOI | 10.1145/3168390.3168439 |
| Citation Key | alzubaidi_neighbor-passive_2017 |
Neighbor-Passive Monitoring Technique for Detecting Sinkhole Attacks in RPL Networks