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Symmetric Cryptography in Javascript

Authors: Dan Boneh; Emily Stark; Michael Hamburg;

Symmetric Cryptography in Javascript

Abstract

We take a systematic approach to developing a symmetric cryptography library in Javascript. We study various strategies for optimizing the code for the Javascript interpreter, and observe that traditional crypto optimization techniques do not apply when implemented in Javascript. We propose a number of optimizations that reduce both running time and code size. Our optimized library is about four times faster and 12% smaller than the fastest and smallest existing symmetric Javascript encryption libraries. On Internet Explorer 8, our library is about 11 times faster than the fastest previously existing code. In addition, we show that certain symmetric systems that are faster than AES when implemented in native x86 code, are in fact much slower than AES when implemented in Javascript. As a result, the choice of ciphers for a Javascript crypto library may be substantially different from the choice of ciphers when implementing crypto natively. Finally, we study the problem of generating strong randomness in Javascript and give extensive measurements validating our techniques.

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    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.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
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!
38
Top 10%
Top 10%
Average
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