Key-Reinstatement Storms on Kids, A Keyed Incongruity Detection System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Most incongruity detection systems rely on machine learning algorithms to derive a model of normality that is later used to detect suspicious events. Various Learning schemes have been proposed to overcome this weakness. One such system is KIDS (Keyed IDS), introduced at DIMVA’10. KIDS’ core idea is akin to the functioning of some cryptographic primitives, namely to introduce a secret element (the key) into the scheme. In KIDS the learned model and the computation of the incongruity score are both key-dependent, a fact which presumably prevents an attacker from creating evasion attacks. In this paper we show that recovering the key is extremely simple provided that the attacker can interact with KIDS and get feedback about probing requests.
Authors and Affiliations
K. Padmapriya, N. Rajendra, M. Komal Kumar
Keywords
Related Articles
- EP ID EP23902
- DOI http://doi.org/10.22214/ijraset.2017.4196
- Views 289
- Downloads 8
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