NDLI: Low-energy encryption for medical devices: security adds an extra design dimension

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Low-energy encryption for medical devices: security adds an extra design dimension

Content Provider	ACM Digital Library
Author	Reparaz, Oscar Verbauwhede, Ingrid Rožić, Vladimir Fan, Junfeng
Abstract	Smart medical devices will only be smart if they also include technology to provide security and privacy. In practice this means the inclusion of cryptographic algorithms of sufficient cryptographic strength. For battery operated devices or for passively powered devices, these cryptographic algorithms need highly efficient, low power, low energy realizations. Moreover, unique to cryptographic implementations is that they also need protection against physical tampering either active or passive. This means that countermeasures need to be included during the design process. Similar to design for low energy, design for physical protection needs to be addressed at all design abstraction levels. Differently, while skipping one optimization step in a design for low energy or low power, merely reduces the battery life time, skipping a countermeasure, means opening the door for a possible attack. Designing for security requires a thorough threat analysis and a balanced selection of countermeasures. This paper will discuss the different abstraction layers and design methods applied to obtain low power/low energy and at the same time side-channel and fault attack resistant cryptographic implementations. To provide a variety of security features, including location privacy, it is clear that medical devices need public key cryptography (PKC). It will be illustrated with the design of a low energy elliptic curve based public key programmable co-processor. It only needs 5.1μ of energy in a 0.13μm CMOS technology for one point multiplication and includes a selected set of countermeasures against physical attacks.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450320719
DOI	10.1145/2463209.2488752
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-05-29
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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