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I was just reading the Stick Figure Guide to AES and came across an interesting table explaining how the winner was chosen:

stick figure aes

Unfortunately the NIST site is down so I can't gain further information about the approval process so I was hoping someone here would know in more detail.

  • Who or what decided on the numbers in this table which ranks each algorithm? I.e. can the exact analysis process be described?
  • Who created that process? People in NIST or an equally divided group of government, industry and public cryptographers?
  • What is included in "Design Features"? I.e. What were those features that were important?
  • "Performance" analysis could have been done with benchmarks but "Implementation Difficulty" sounds subjective. How was that quantified?
  • Could the numbers in that table been tweaked to skew the results in favor of a particular algorithm?

Those questions aside and assuming the magic numbers above were arrived at a fair and equitable process without bias or hidden agendas, it seems to me this table or ranking system is still missing a "weighting" criteria. All categories seem to be weighted with the same importance. That is "Smart Card Performance" is equally important as "General Security". That seems incorrect. I would argue that security is of the utmost importance so that should have a higher weighting relative to the other criteria which would be secondary concerns. A good quote would be:

Security at the expense of usability, comes at the expense of security.

I wondered what would happen if I applied a high weighting factor to security and left the other points as they are. For example:

security

Now Serpent is first equal with Rijndael with Twofish coming in a close second. Interesting.

What about if I am developing a software product, I don't care about about hardware performance or smart card performance so I can rule those two out completely in my decision. The table might look like this:

software

Now Twofish is the winner and Rijndael is second equal with Serpent and MARS. MARS might even be more attractive with its variable key size up to 448 bits.

My overall point is that Rijndael, Serpent, Twofish and MARS all appear to be within the same ballpark quality range as far as block ciphers go and this rating criteria. There might be a more accurate mathematical way to apply a weighting factor. If I was revamping the security on a project and concerned about NSA involvement in weakening encryption standards then I could re-weight some of the criteria and priorities to suit my project's specific goals. I might decide on a different algorithm from Rijndael. Back in 2000 Rijndael might have suited the US government's purposes and planned surveillance agendas but not my project's. I would compare it to selecting an algorithm just like TrueCrypt gives you the option of choosing between 3 different algorithms. Would that be a reasonable call?

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    $\begingroup$ I hope by implementation difficulty they really mean ease of implementation.... $\endgroup$
    – Thomas
    Oct 17, 2013 at 4:03
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    $\begingroup$ All the numbers in those slides are made up as an example, do not use them to compare the actual ciphers. For example, RC6 was 50% faster than Rijndael in software, and 26% faster in hardware at the time. $\endgroup$ Oct 17, 2013 at 5:29
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    $\begingroup$ @Richie How do you know they are made up in the slides? Anyway I was trying to find out the exact process and analysis that they used to determine the overall rankings of each algorithm. That will be critical in deciding if it was fairly done. I'm guessing the AES standard was designed more as a "one algorithm fits all" approach while sacrificing some security. However specific developers should be able to see the full analysis and perhaps tweak it to remove criteria that aren't important to them. In which case they might end up with a different algorithm from Rijndael that would be better. $\endgroup$
    – J_M
    Oct 17, 2013 at 6:26
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    $\begingroup$ I have read the final round AES report. Rijndael won because of its overall balanced performance and implementation cost on a variety of platforms, its small code size and ability to use the sbox on the fly without table lookup, and its "adequate" security margin. Twofish (with large keys) and Serpent had the highest security margins by far. Serpent and Rijndael generally has the best overall hardware performance. Rijndael and RC6 had the best overall software performance. $\endgroup$ Oct 17, 2013 at 7:07
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    $\begingroup$ Rijndael is actually pretty tricky to implement in software if you want to completely avoid timing side-channels without specialized instructions. $\endgroup$ Oct 18, 2013 at 7:29

1 Answer 1

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At the time of the competition (I can talk about it, I was there), there was a lot of discussion and various people showed arguments. However, there was never an official, publicly known "board of scores" with totals and definite rules, as the pictures you show seem to purport. It is possible that the NIST people did make something similar internally, but they certainly did not publish it. From the outside, the choice has been made by NIST in "some way" and they then provided qualitative reasons, not really quantitative. NIST never bound itself into following strict rules; they wanted to remain in control of the whole proceedings.

The picture still conveys the main reasons why Rijndael was chosen:

  • Its performance is nowhere bad. It was not the highest performer on every platform, but there was no platform where it would be abysmally slow, in contrast to almost any other candidate.

  • The "implementation difficulty" relates to features which, on some platforms, imply quite some work. For instance, RC6 requires a multiplier, which is hard on ASIC / FPGA (which translates to: it uses a lot of silicon space). MARS is very complex (many kinds of transforms piled up together) and implementers have reported that it took them quite some time to come up with working implementations, let alone optimized implementations. Twofish uses key-dependent S-boxes, which need RAM (bad for smart cards, bad for ASIC/FPGA). Rijndael was rather simple to implement (in retrospect, Serpent was better for that, especially if you want to implement the algorithm without lookup tables).

During the round conferences, where cryptographers who meet to talk about the AES candidates, some informal surveys were conducted, where people could give "scores" to candidates. While Rijndael did not necessarily elicit the best marks from everybody, nobody really hated it, so it looked fine as a future standard.


All of this, of course, depends on quite arbitrary assumptions on the usage context. NIST wanted an all-purpose block cipher, suitable to a large range of hardware platforms. If you target a specific system (e.g. for disk encryption on your PC), then this may point at another algorithm; for instance, RC6 is faster than Rijndael on a PC (except if the said PC offers the AES-NI instructions, of course).

The really good thing about the AES competition is not that it came up with a good, strong algorithm; what matters is that almost all candidates turned out to be good and strong. Among the 15 candidates, only two were "broken", and then only in an academic way. The trust we can have in AES comes from that: the AES competition proved that we apparently knew how to design algorithms that nobody else knows how to break (that's about as good as you can get with symmetric cryptography).

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    $\begingroup$ Obviously the AES-NI instructions did not exist before AES was standardized, though it certainly helps performance a lot. $\endgroup$
    – Thomas
    Oct 17, 2013 at 22:51
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    $\begingroup$ If they knew that whatever primitive would be chosen, it would get a native implementation in most CPUs, nothing would be different, Rijndael would still have won. Though it is an interesting consideration for future calls. $\endgroup$ Oct 21, 2014 at 20:54
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    $\begingroup$ In fact it was widely believed that whatever algorithm chosen as "AES" would be implemented in hardware by CPU vendors (Rijndael was one of the simplest algorithms to implement that way, but the idea was that hardware implementations were forthcoming anyway). The surprising part is that it took ten years; most people assumed that it would come much faster. $\endgroup$ Jul 20, 2016 at 14:30
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    $\begingroup$ I spoke to someone recently on the competition, and their only comment that stuck with me was "when it came to hardware, I looked at MARS and though 'OMG, just no'". it made me chuckle a bit. It just shows that you have give a little love to the silicon. $\endgroup$
    – b degnan
    Jun 29, 2020 at 17:02

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