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Intrusion detection systems for IoT: Opportunities and challenges offered by edge computing
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Authors: Pietro Spadaccino, Francesca Cuomo
Status: Final
Date of publication: 22 September 2022
Published in: ITU Journal on Future and Evolving Technologies, Volume 3 (2022), Issue 2, Pages 408-420
Article DOI : https://doi.org/10.52953/WNVI5792
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Abstract:
Key components of current cybersecurity methods are the Intrusion Detection Systems (IDSs), where different techniques and architectures are applied to detect intrusions. IDSs can be based either on cross-checking monitored events with a database of known intrusion experiences, known as signature-based, or on learning the normal behavior of the system and reporting whether anomalous events occur, named anomaly-based. This work is dedicated to the application of IDS to the Internet of Things (IoT) networks, where also edge computing is used to support IDS implementation. Specific attention is given to IDSs which leverage device classification at the edge. New challenges that arise when deploying an IDS in an edge scenario are identified and remedies are proposed. |
Keywords: Device classification, edge computing, Internet of Things, intrusion detection systems
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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