Do we have the time for IRM? : Service denial attacks and SDN-based defences
Shah, Ryan and Nagaraja, Shishir; (2019) Do we have the time for IRM? : Service denial attacks and SDN-based defences. In: ICDCN 2019 - Proceedings of the 2019 International Conference on Distributed Computing and Networking. Association for Computing Machinery, IND, pp. 496-501. ISBN 9781450360944 (https://doi.org/10.1145/3288599.3295582)
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Abstract
Distributed sensor networks such as IoT deployments generate large quantities of measurement data. Often, the analytics that runs on this data is available as a web service which can be purchased for a fee. A major concern in the analytics ecosystem is ensuring the security of the data. Often, companies offer Information Rights Management (IRM) as a solution to the problem of managing usage and access rights of the data that transits administrative boundaries. IRM enables individuals and corporations to create restricted IoT data, which can have its flow from organisation to individual control - disabling copying, forwarding, and allowing timed expiry. We describe our investigations into this functionality and uncover a weak-spot in the architecture - its dependence upon the accurate global availability of time. We present an amplified denial-of-service attack which attacks time synchronisation and could prevent all the users in an organisation from reading any sort of restricted data until their software has been re-installed and re-configured. We argue that IRM systems built on current technology will be too fragile for businesses to risk widespread use. We also present defences that leverage the capabilities of Software-Defined Networks to apply a simple filter-based approach to detect and isolate attack traffic.
ORCID iDs
Shah, Ryan ORCID: https://orcid.org/0000-0003-1348-8423 and Nagaraja, Shishir;-
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Item type: Book Section ID code: 67317 Dates: DateEvent4 January 2019Published29 September 2018AcceptedSubjects: Bibliography. Library Science. Information Resources > Library Science. Information Science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 14 Mar 2019 16:41 Last modified: 11 Nov 2024 15:17 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67317