dc.contributor.author | Ioannou, Christiana | en |
dc.contributor.author | Vassiliou, Vasos | en |
dc.coverage.spatial | Montreal, QC, Canada | en |
dc.creator | Ioannou, Christiana | en |
dc.creator | Vassiliou, Vasos | en |
dc.date.accessioned | 2021-01-22T10:47:45Z | |
dc.date.available | 2021-01-22T10:47:45Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-4503-5960-3 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/62418 | |
dc.description.abstract | In this paper we evaluate the feasibility of running a lightweight Intrusion Detection System within a constrained sensor or IoT node. We propose mIDS, which monitors and detects attacks using a statistical analysis tool based on Binary Logistic Regression (BLR). mIDS takes as input only local node parameters for both benign and malicious behavior and derives a normal behavior model that detects abnormalities within the constrained node.We offer a proof of correct operation by testing mIDS in a setting where network-layer attacks are present. In such a system, critical data from the routing layer is obtained and used as a basis for profiling sensor behavior. Our results show that, despite the lightweight implementation, the proposed solution achieves attack detection accuracy levels within the range of 96% - 100%. | en |
dc.publisher | Association for Computing Machinery | en |
dc.source | Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems | en |
dc.source.uri | https://doi.org/10.1145/3242102.3242145 | |
dc.title | An Intrusion Detection System for Constrained WSN and IoT Nodes Based on Binary Logistic Regression | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1145/3242102.3242145 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Vassiliou, Vasos [0000-0001-8647-0860] | |
dc.gnosis.orcid | 0000-0001-8647-0860 | |