Data Conformity Evaluation: A Novel Approach for IoT Security

Submitted by grigby1 on Fri, 06/26/2020 - 12:04pm

Title	Data Conformity Evaluation: A Novel Approach for IoT Security
Publication Type	Conference Paper
Year of Publication	2019
Authors	Maria Verzegnassi, Enrico Giulio, Tountas, Konstantinos, Pados, Dimitris A., Cuomo, Francesca
Conference Name	2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
Date Published	April 2019
Publisher	IEEE
ISBN Number	978-1-5386-4980-0
Keywords	blind attack detection method, composability, computer network security, data conformity, data conformity evaluation, edge detection, Image edge detection, Internet of Things, IoT networks, IoT security, Iterative methods, jamming, L1-norm, Metrics, Network topology, principal-component-analysis, pubcrawl, Resiliency, Scalability, security, star topology network, telecommunication network topology, tensor decomposition, tensors, Wireless sensor networks
Abstract	We consider the problem of attack detection for IoT networks based only on passively collected network parameters. For the first time in the literature, we develop a blind attack detection method based on data conformity evaluation. Network parameters collected passively, are converted to their conformity values through iterative projections on refined L1-norm tensor subspaces. We demonstrate our algorithmic development in a case study for a simulated star topology network. Type of attack, affected devices, as well as, attack time frame can be easily identified.
URL	https://ieeexplore.ieee.org/document/8767175
DOI	10.1109/WF-IoT.2019.8767175
Citation Key	maria_verzegnassi_data_2019

Groups:

Science of Security VO