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Segregating Keys from noncense: Timely Exfil of Ephemeral Keys from Embedded Systems

Authors: Heini Bergsson Debes; Thanassis Giannetsos;

Segregating Keys from noncense: Timely Exfil of Ephemeral Keys from Embedded Systems

Abstract

As lightweight embedded devices become increasingly ubiquitous and connected, they present a disturbing target for adversaries circumventing the gates of cryptography. We consider the challenge of exfiltrating and locating cryptographic keys from the run-time environment of software-based services when their software layout and data structures in memory are unknown. We detail an attack that can, without affecting the system’s operation, exfiltrate keys in use promptly by leveraging the strong causality between transceivers and keyed cryptosystems (authentication, authorization, and encryption). We then propose how to effectively and efficiently reduce the key material’s search space from a batch of stackshots (stack extractions) by leveraging the stack’s innate composition, which, to the best of our knowledge, is the first method to systematically infer and reduce the search space of semi-arbitrary keys. We instantiate and evaluate our attack against MSP430 micro-controllers.

Country
Denmark
Related Organizations
Keywords

Runtime Key Disclosure, IoT, cryptography, Key-Exposure Problem

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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