Hey! I'm David, a security consultant at Cryptography Services, the crypto team of NCC Group . This is my blog about cryptography and security and other related topics that I find interesting.

# The Strobe Protocol Framework

## Introduction

The Strobe Protocol Framework is a specification, available here, which you can use to implement a primitive called the Strobe Duplex Construction. The implemented Strobe object should respond to a dozen of calls that can be combined together to allow you to generate random numbers, derive keys, hash, encrypt, authenticate, and even build complex symmetric protocols.

The thing is sexy for several reasons:

1. you only use a single primitive to do all of your symmetric crypto
2. it makes the code size of your library extremely small, easy to fit in embedded devices and easy to audit
3. on top of that it allows you to create TLS-like protocols
4. every message/operation of your protocol depends on all the previous messages/operations

The last one might remind you of Noise which is a protocol framework as well that mostly focus on the asymmetric part (handshake). More on that later :)

## Overview

From a high level point of view, here is a very simple example of using it to hash a string:

myHash = Strobe_init("hash")
hash = myHash.PRF(outputLen=16)

You can see that you first instantiate a Strobe object with a custom name. I chose "hash" here but it could have been anything. The point is to personalize the result to your own protocol/system: initializing Strobe with a different name would give you a different hash function.

Here two functions are used: AD and PRF. The first one to insert the data you're about to hash, the second one to obtain a digest of 16 bytes. Easy right?

Another example to derive keys:

KDF = Strobe_init("deriving keys for something")
KDF.KEY(keyInput)
key1 = KDF.PRF(outputLen=16)
key2 = KDF.PRF(outputLen=16)

Here we use a new call KEY which is similar to AD but provides forward-secrecy as well. It is not needed here but it looks nicer and so I'll use it. We then split the output in two in order to form two new keys out of our first one.

Let me now give you a more complex example. So far we've only used Strobe to create primitives, what if I wanted to create a protocol? For example on the client side I could write:

myProtocol = Strobe_init("my protocol v1.0")
myProtocol.KEY(sharedSecret)
buffer += myProtocol.send_ENC("GET /")
buffer += myProtocol.send_MAC(len=16)
// send the buffer
message = myProtocol.recv_ENC(ciphertext[:-16])
ok = myProtocol.recv_MAC(ciphertext[-16:])
if !ok {
// reset the connection
}

Since this is a symmetric protocol, something similar should be done on the server side. The code above initializes an instance of Strobe called "my protocol v1.0", and then keys it with a pre-shared secret or some key exchange output. Whatever you like to put in there. Then it encrypts the GET request and sends the ciphertext along with an authentication tag of 16 bytes (should be enough). The client then receives some reply and uses the inverse operations to decrypt and verify the integrity of the message. This is what the server must have done when it received the GET request as well. This is pretty simple right?

There's so much more Strobe can do, it is up to you to build your own protocol using the different calls Strobe provides. Here is the full list:

• AD: Absorbs data to authenticate.
• KEY: Absorbs a key.
• PRF: Generates a random output (forward secure).
• send_CLR: Sends non-encrypted data.
• send_ENC: Encrypts data.
• recv_ENC: Decrypts data.
• send_MAC: Produces an authentication tag.
• recv_MAC: Verifies an authentication tag.
• RATCHET: Introduce forward secrecy.

There are also meta variants of some of these operations which allow you to specify that what you're operating on is some frame data and not the real data itself. But this is just a detail.

## How does it work?

Under its surface, Strobe is a duplex construction. Before I can explain that, let me first explain the sponge construction.

A sponge belongs to a field in cryptography called permutation-based cryptography. This is because at its core, it works on top of a permutation. The whole security of the thing is proven as long as your permutation is secure, meaning that it behaves like a random oracle. What's a permutation? Oh sorry, well, imagine the AES block cipher with a fixed key of 00000000000000000. It takes all the possible inputs of 128-bit, and it will give you all the possible outputs of 128-bit. It's a one-to-one mapping, for one plaintext there is always one ciphertext. That's a permutation.

SHA-3 is based on the sponge construction by the way, and it uses the keccak-f[1600] permutation at its core. Its security was assessed by long years of cryptanalysis (read: people trying to break it) and it works very similarly as AES: it has a series of steps that modify an input, and these steps are repeated many many times in what we call rounds. AES-128 has 10 rounds, Keccak-f[1600] has 24 rounds. The 1600 part of the name means that it has an input/ouput size of 1600 bits.

So here our permutation is Keccak-f[1600], and we imagine that our input/output is divided into two parts: the public part (rate) and the secret part (capacity). Intuitively we'll say that the bigger the secret part is, the more secure the construction is. And indeed, SHA-3 has several flavors that will use different sizes according to the security advertised.

The message is padded and split into multiple blocks of the same size as the public part. To absorb them into our sponge, we just XOR each blocks with the public part of the state, then we permute the state.

To obtain an output from this construction, we just retrieve the public part of our state. If it's not enough, we permute to modify the state of the sponge, then we collect the new public part so that it can be appended to the previous one. And we continue to do that until we have enough. If it's too much we truncate :)

And that's it! It's a sponge, we absorb and we squeeze. Makes sense right?

This is exactly how SHA-3 works, and the output is your hash.

What if we're not done though? What if we want to continue absorbing, then squeeze again, then absorb again, etc... This would give us a nice property: everything that we squeeze will depend on everything that has been absorbed and squeezed so far. This provides us transcript consistency.

The Keccak team said we can, and they created the Duplex construction. It's just something that allows us to absorb, to squeeze, to absorb, to squeeze, and on and on...

## Building Strobe

"How is Strobe constructed on top of the Duplex construction?" you may ask. And I will give you an intuition of an answer.

Strobe has fundamentally 3 types of internal operations, that are used to build the operations we've previously saw (KEY, AD, Send_ENC, ...). They are the following:

• default: state = input ⊕ state
• cbefore: state = input
• cafter: output, state = input ⊕ state

The default one simply absorbs the input with the state. This is useful for any kind of operation since we want them to affect the outcome of the next ones.

The cbefore internal operation allows you to replace the bits of the state with your input. This is useful when we want to provide forward-secrecy: if the state is later leaked, the attacker will not be able to recover a previous state since bits of the rate have been erased. This is used to construct the KEY, RATCHET and PRF operations. While KEY replaces the state with bits from a key, RATCHET and PRF replaces the state with zeros.

cafter is pretty much the same as the default operation, except that it also retrieves the output of the XOR. If you've seen how stream ciphers or one-time pads work, you might have recognized that this is how we can encrypt our plaintext. And if it wasn't more obvious to you, this is what will be used to construct the Send_ENC operations.

There is also one last thing: an internal flag called forceF that allows you to run the permutation before using any one of these internal operations. This is useful when you need to produce something from the Duplex construction: a ciphertext, a random number, a key, etc... Why? Because we want the result to depend on what happened previously, and since we can have many operations per block size we need to do this. You can imagine problems if we were not to do that: an encryption operation that would not depend on the previously inserted key for example.

Let's see some examples!

We'll start by keying our protocol. We first absorb the name of the operation (Strobe is verbose). We then permute (via the forceF flag) to start on a fresh block. Since the KEY operation also provides forward-secrecy, the cbefore internal operation is used to replace the bits of the state with the bits of the input (the key).

After that we want to encrypt some data. We'll absorb the name of the operation (send_ENC), we'll permute (forceF) and we'll XOR our plaintext with the state to encrypt it. We can then send that ciphertext, which is coincidentally also part of the new state of our duplex construction.

I'll give you two more examples. We can't just send encrypted data like that, we need to protect its integrity. And why not including some additional data that we want to authenticate:

You'll notice, AD does not need to permute the Strobe state, this is because we're not sending anything (or obtaining an output from the construction) so we do not need to depend on what has happened previously yet. For the send_MAC operation we do need that though, and we'll use the cafter internal operation with an input of 16 zeros to obtain the first 16 bytes of the state.

In these description, I've simplified Strobe and omitted the padding. There is also a flag that is differently set depending on who sent the first message. All these details can be learned through the specification.

## Now what?

Go play with it! Here is a list of things:

Note that this is still a beta, and it's still experimental.

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# Interview: How to pique your curiosity in cryptography

## posted July 2017

I was interviewed by Constanze Kurtz for Netzpolitik.org

We talked to the cryptographer David Wong about crypto-related blogs worth reading and exploring in an interview. We also asked him about the changing landscape of the crypto-world and the awareness of IT security issues.

The list of crypto/security blogs I maintain is available here on Github.

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# SHA-3 vs the world: slides

## posted July 2017

I just gave a talk at Defcon on SHA-3, derived functions and Strobe. The talk was recorded but I don't expect it to be online in the next 6 months, in the mean time the slides are available here .

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# BEAST: An Explanation of the CBC Attack on TLS

## posted July 2017

I made a video explaining the BEAST attack. As usual it's more of an overview so head over to something like this for more details.

# Defcon: SHA-3 vs the world

## posted July 2017

I'll be speaking at the Defcon Crypto village again this year (my talk of last year is here).

It will be about recent hash functions, it will focus a lot on SHA-3 and it will try to avoid any of the recent controversy on which hash function is better (it will be hard but I will try to be neutral and fair).

It'll be recorded if you can't make it. If you can make it, head to the crypto village at 11am on Friday. See the Defcon Crypto Village schedule here. And here is the abstract:

Since Keccak has been selected as the winner of the SHA-3 competition in 2012, a myriad of different hash functions have been trending. From BLAKE2 to KangarooTwelve we'll cover what hash functions are out there, what is being used, and what you should use. Extending hash functions, we’ll also discover STROBE, a symmetric protocol framework derived from SHA-3.

# How big are TLS records during a handshake?

## posted June 2017

I've asked some TLS size questions on Twitter and got some nice results :]

People mostly got it right for the Client Hello. But it wasn't as easy for the Server Hello.

Client Hello → 212 bytes

Server Hello → 66 bytes

These are just numbers I got from a TLS 1.2 handshake with a random website. These numbers are influenced by the browser I use and the configuration of the server. But they should be close to that range anyway as the structure of a Client Hello or a Server Hello are quite simple.

A better question would be: what is the bigger message? and the Client Hello would always win. This is because the Server Hello only replies with one choice from the list of choices the client proposed. For example the server will choose only one ciphersuite from the 13 suites the client proposed. The server will choose one curve from the 3 different curves proposed by the client. The server will choose a single signature algorithm from the client's 10 propositions. And on and on...

Everyone (mostly) got this one!

Certificate → 2540 bytes

Obviously, this is the biggest message of the handshake by far. The number I got is from receiving two different certificates where each certificate is about a thousand bytes. This is because servers tend to send the full chain of certificates to the client, longer chains will increase the size of this message. Probably why there are propositions for a certification compression extension.

ServerKeyExchange → 338 bytes

ClientKeyExchange → 75 bytes

Both of these messages include the peer's public key during ephemeral key exchanges. But the ServerKeyExchange additionally contains the parameters of the key exchange algorithm and a signature of the server's public key. In my case, the signature was done with RSA-2048 and of size 256 bytes, while the NIST p256 public keys were of size 65 bytes.

Using ECDSA for signing, signatures could have been smaller. Using FFDH for the key agreement, public keys could have been bigger.
Tim Dierks also mentioned that using RSA-10000 would have drastically increased the size of the ServerKeyExchange.
Maybe a better question, again, would be which one is the bigger message.

People mostly got it right here!

The rest of the handshake is negligible:

ChangeCipherSpec is just 6 bytes indicating a switch to encryption, it will always be the same size no matter what kind of handshake you went through, most of its length comes from the record's header.

Finished is 45 bytes. Its content is a MAC of the handshake transcript, but an additional MAC is added to protect the integrity of the ciphertext (ciphertext expansion). Remember, Finished is the first (and only) encrypted message in a handshake.

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# Crypto training at Black Hat USA

## posted June 2017

I'll be back in Vegas this year to give the crypto training of Black Hat. The class is not full yet so hurry up if that is something that interests you.

It will be a blend of culture, exercises and technical dives. For 2 days, students get to learn all the cool crypto attacks, get to dive into some of them deeply, and get to interact via numerous exercises.

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# Noise+Strobe=Disco

## posted June 2017

Noise is a protocol framework allowing you to build different lightweight TLS-like handshakes depending on your use case. Benefits are a short code size, very few dependencies, simplicity of the security guarantees and analysis. It focuses primarily on the initial asymmetric phase of the setup of a secure channel, but does leave you with two ciphers that you can use to read and write on both sides of the connection. If you want to know more, I wrote a readable implementation, and have a tutorial video.

Strobe is a protocol framework as well, focusing on the symmetric part of the protocol. Its simplicity boils down to only using one cryptographic primitive: the duplex construction. Which allows developers to benefit from an ultra short cryptographic code base supporting their custom-made symmetric protocols as well as their different needs of cryptographic functions. Indeed, Strobe can be used as well to instantiate a hash function, a key derivation function, a pseudo-random number generator, a message authentication code, an authenticated encryption with associated data cipher, etc... If you want to know more, I wrote a readable implementation and Mike Hamburg gave a talk at RWC.

Noise+Strobe=Disco. One of Noise's major character is that it keeps a running hash, digesting every message and allowing every new handshake message to mix the transcript in its encryption while authenticating previous messages received and sent. Strobe works like that naturally. Its duplex function absorbs every calls being made to the underlying primitive (the Keccak permutation), to the extent that every new operation is influenced by any operation that happened previously. These two common traits in Strobe and Noise led me to pursue a merge between the two: what if that running hash and symmetric state in Noise was simply Strobe's primitive? And what if at the end of a handshake Noise would just spew out two Strobe's objects also depending on the handshake transcript? I talked to Trevor Perrin about it and his elegant suggestion for a name (Disco) and my curiosity led to an implementation of what it would look like.

This is of course highly experimental. I modified the Noise's specification to see how much I could remove/simplify from it and the result is already enjoyable.

I've discussed the changes on the mailing list. But simply put: the CipherState has been removed, the SymmetricState has been replaced by calls to Strobe. This leaves us only with one object: the HandshakeState. Every symmetric algorithm has been removed (HDKF, HMAC, HASH, AEAD). The specification looks way shorter, while the Disco implementation is more than half the size of the Noise implementation.

The Strobe's calls naturally absorbs every operation, and can encrypt/decrypt the handshake messages even if no shared secret has been negotiated (with a non-keyed duplex construction), which simplifies corner cases where you would have to test if you have already negotiated a shared secret or not.

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# Readable implementation of the Noise protocol framework

## posted June 2017

I wrote an implementation of the Noise Protocol Framework. If you don't know what that is, it is a framework to create lightweight TLS-like protocols. If you do not want to use TLS because it is unnecessarily complicated, and you know what you're doing, Noise is the solution. You have different patterns for different usecase and everything is well explained for you to implement it smoothly.

My current research includes merging this framework with the Strobe protocol framework I've talked about previously.

This led me to first implement a readable and understandable version of Noise here.

Note that this is highly experimental and it has not been thoroughly tested.

I also had to deviate from the specification when naming things because Golang:

• doesn't use snake_case, but Noise does.
• capitalizes function names to make them public, Noise does it for different reasons.
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# SIMD instructions in Go

## posted June 2017

One awesome feature of Go is cross-compilation. One limitation is that we can only choose to build for some pre-defined architectures and OS, but we can't build per CPU-model. In the previous post I was talking about C programs, where the user actually chooses the CPU model when calling the Make. Go could probably have something like that but it wouldn't be gooy. One solution is to build for every CPU models anyway, and decide later what is good to be used. So one assembly code for SSE2, one code for AVX, one code for AVX-512.

Note that we do not need to use SSE3/SSE4 (or AVX2) as the interesting functions are contained in SSE2 (respectively AVX) which will have more support and be contained in greater versions of SSE (respectively AVX) anyway.

The official Blake2 implementation in Go actually uses SIMD instructions. Looking at it is a good way to see how SIMD coding works in Go.

In _amd64.go, they use the builtin init() function to figure out at runtime what is supported by the host architecture:

func init() {
useAVX2 = supportsAVX2()
useAVX = supportsAVX()
useSSE4 = supportsSSE4()
}

Which are calls to assembly functions detecting what is supported either via:

1. a CPUID call directly for SSE4.
2. calls to Golang's runtime library for AVX and AVX2.

In the second solution, the runtime variables seems to be undocumented and only available since go1.7, they are probably filled via cpuid calls as well. Surprisingly, the internal/cpu package already has all the necessary functions to detect flavors of SIMD. See an example of use in the bytes package.

And that's it! Blake2's hashBlocks() function then dynamically decides which function to use at runtime:

func hashBlocks(h *[8]uint64, c *[2]uint64, flag uint64, blocks []byte) {
if useAVX2 {
hashBlocksAVX2(h, c, flag, blocks)
} else if useAVX {
hashBlocksAVX(h, c, flag, blocks)
} else if useSSE4 {
hashBlocksSSE4(h, c, flag, blocks)
} else {
hashBlocksGeneric(h, c, flag, blocks)
}
}

Because Go does not have intrisic functions for SIMD, these are implemented directly in assembly. You can look at the code in the relevant _amd64.s file. Now it's kind of tricky because Go has invented its own assembly language (based on Plan9) and you have to find out things the hard way. Instructions like VINSERTI128 and VPSHUFD are the SIMD instructions. MMX registers are M0...M7, SSE registers are X0...X15, AVX registers are Y0, ..., Y15. MOVDQA is called MOVO (or MOVOA) and MOVDQU is called MOVOU. Things like that.

As for AVX-512, Go probably still doesn't have instructions for that. So you'll need to write the raw opcodes yourself using BYTE (like here) and as explained here.

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# SIMD instructions in crypto

## posted June 2017

The Keccak Code Package repository contains all of the Keccak team's constructions, including for example SHA-3, SHAKE, cSHAKE, ParallelHash, TupleHash, KMAC, Keyak, Ketje and KangarooTwelve. ParallelHash and KangarooTwelve are two hash functions based on the same basis of SHA-3, but that can be sped up with parallelization. This makes these two hash functions really interesting, especially when hashing big files.

## MMX, SSE, SSE2, AVX, AVX2, AVX-512

To support parallelization, a common way is to use SIMD instructions, a set of instructions generally available on any modern 64-bit architecture that allows computation on large blocks of data (64, 128, 256 or 512 bits). Using them to operate in blocks of data is what we often call vector/array programming, the compiler will sometimes optimize your code by automatically using these large SIMD registers.

SIMD instructions have been here since the 70s, and have become really common. This is one of the reason why image, sound, video and games all work so well nowadays. Generally, if you're on a 64-bit architecture your CPU will support SIMD instructions.

There are several versions of these instructions. On Intel's side these are called MMX, SSE and AVX instructions. AMD has SSE and AVX instructions as well. On ARM these are called NEON instructions.

MMX allows you to operate on 64-bit registers at once (called MM registers). SSE, SSE2, SSE3 and SSE4 all allow you to use 128-bit registers (XMM registers). AVX and AVX2 introduced 256-bit registers (YMM registers) and the more recent AVX-512 supports 512-bit registers (ZMM registers).

## How To Compile?

OK, looking back at the Keccak Code Package, I need to choose what architecture to compile my Keccak code with to take advantage of the parallelization. I have a macbook pro, but have no idea what kind version of SSE or AVX my CPU model supports. One way to find out is to use www.everymac.com → I have an Intel CPU Broadwell which seems to support AVX2!

Looking at the list of architectures supported by the Keccak Code Package I see Haswell, which is of the same family and supports AVX2 as well. Compiling with it, I can run my KangarooTwelve code with AVX2 support, which parallelizes four runs of the Keccak permutation at the same time using these 256-bit registers!

In more details, the Keccak permutation goes through several rounds (12 for KangarooTwelve, 24 for ParallelHash) that need to serially operate on a succession of 64-bit lanes. AVX (no need for AVX2) 256-bit's registers allow four 64-bit lanes to be operated on at the same time. That's effectively four Keccak permutations running in parallel.

## Intrisic Instructions

Intrisic functions are functions you can use directly in code, and that are later recognized and handled by the compiler.

Intel has an awesome guide on these here. You just need to find out which function to use, which is pretty straight forward looking at the documentation.

In C, if you're compiling with GCC on an Intel/AMD architecture you can start using intrisic functions for SIMD by including x86intrin.h. Or you can use this script to include the correct file for different combination of compilers and architectures:

#if defined(_MSC_VER)
/* Microsoft C/C++-compatible compiler */
#include <intrin.h>
#elif defined(__GNUC__) && (defined(__x86_64__) || defined(__i386__))
/* GCC-compatible compiler, targeting x86/x86-64 */
#include <x86intrin.h>
#elif defined(__GNUC__) && defined(__ARM_NEON__)
/* GCC-compatible compiler, targeting ARM with NEON */
#include <arm_neon.h>
#elif defined(__GNUC__) && defined(__IWMMXT__)
/* GCC-compatible compiler, targeting ARM with WMMX */
#include <mmintrin.h>
#elif (defined(__GNUC__) || defined(__xlC__)) && (defined(__VEC__) || defined(__ALTIVEC__))
/* XLC or GCC-compatible compiler, targeting PowerPC with VMX/VSX */
#include <altivec.h>
#elif defined(__GNUC__) && defined(__SPE__)
/* GCC-compatible compiler, targeting PowerPC with SPE */
#include <spe.h>
#endif

If we look at the reference implementation of KangarooTwelve in C we can see how they decided to use the AVX2 instructions. They first define a __m256i variable which will hold 4 lanes at the same time.

typedef __m256i V256;

They then declare a bunch of them. Some of them will be used as temporary registers.

They then use unrolling to write the 12 rounds of Keccak. Which are defined via relevant AVX2 instructions:

    #define ANDnu256(a, b)          _mm256_andnot_si256(a, b)
#define LOAD4_64(a, b, c, d)    _mm256_set_epi64x((UINT64)(a), (UINT64)(b), (UINT64)(c), (UINT64)(d))
#define ROL64in256(d, a, o)     d = _mm256_or_si256(_mm256_slli_epi64(a, o), _mm256_srli_epi64(a, 64-(o)))
#define ROL64in256_8(d, a)      d = _mm256_shuffle_epi8(a, CONST256(rho8))
#define ROL64in256_56(d, a)     d = _mm256_shuffle_epi8(a, CONST256(rho56))
#define STORE256(a, b)          _mm256_store_si256((V256 *)&(a), b)
#define STORE256u(a, b)         _mm256_storeu_si256((V256 *)&(a), b)
#define STORE2_128(ah, al, v)   _mm256_storeu2_m128d((V128*)&(ah), (V128*)&(al), v)
#define XOR256(a, b)            _mm256_xor_si256(a, b)
#define XOReq256(a, b)          a = _mm256_xor_si256(a, b)
#define UNPACKL( a, b )         _mm256_unpacklo_epi64((a), (b))
#define UNPACKH( a, b )         _mm256_unpackhi_epi64((a), (b))
#define PERM128( a, b, c )      (V256)_mm256_permute2f128_ps((__m256)(a), (__m256)(b), c)
#define SHUFFLE64( a, b, c )    (V256)_mm256_shuffle_pd((__m256d)(a), (__m256d)(b), c)

And if you're wondering how each of these _mm256 function is used, you can check the same Intel documentation

Voila!

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# Tamarin Prover Introduction

## posted June 2017

I've made a quick intro on Tamarin Prover, which is a protocol verification tool. I just wanted to show people how practical and fun it looks =)

# A New Public-Key Cryptosystem via Mersenne Numbers

## posted June 2017

a lot of keywords here are really interesting. But first, what is a Mersenne prime?

A mersenne prime is simply a prime $p$ such that $p=2^n - 1$. The nice thing about that, is that the programming way of writing such a number is

(1 << n) - 1

which is a long series of 1s.

A number modulo this prime can be any bitstring of the mersenne prime's length.

OK we know what's a Mersenne prime. How do we build our new public key cryptosystem now?

Let's start with a private key: (secret, privkey), two bitstrings of low hamming weight. Meaning that they do not have a lot of bits set to 1.

Now something very intuitive happens: the inverse of such a bitstring will probably have a high hamming weight, which let us believe that $secret \cdot privkey^{-1} \pmod{p}$ looks random. This will be our public key.

Now that we have a private key and a public key. How do we encrypt ?

The paper starts with a very simple scheme on how to encrypt a bit $b$.

$ciphertext = (-1)^b \cdot ( A \cdot pubkey + B ) \pmod{p}$

with $A$ and $B$ two public numbers that have low hamming weights as well.

We can see intuitively that the ciphertext will have a high hamming weight (and thus might look random).

If you are not convinced, all of this is based on actual proofs that such operations between low and high hamming weight bitstrings will yield other low or high hamming weight bitstrings. All of this really work because we are modulo a $1111\cdots$ kind of number. The following lemmas taken from the paper are proven in section 2.1.

How do you decrypt such an encrypted bit?

This is how:

$ciphertext \cdot privkey \pmod{p}$

This will yield either a low hamming weight number → the original bit $b$ was a $0$,
or a high hamming weight number → the original bit $b$ was a $1$.

You can convince yourself by following the equation:

And again, intuitively you can see that everything is low hamming weight except for the value of $(-1)^b$.

This scheme doesn't look CCA secure nor practical. The paper goes on with an explanation of a more involved cryptosystem in section 6.

EDIT: there is already a reduction of the security estimates published on eprint.

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# Is Symmetric Security Solved?

## posted June 2017

Recently T. Duong, D. Bleichenbacher, Q. Nguyen and B. Przydatek released a crypto library intitled Tink. At its center lied an implementation of AES-GCM somehow different from the rest: it did not take a nonce as one of its input.

A few days ago, at the Crypto SummerSchool in Croatia, Nik Kinkel told me that he would generally recommend against letting developers tweak the nonce value, based on how AES-GCM tended to be heavily mis-used in the wild. For a recap, if a nonce is used twice to encrypt two different messages AES-GCM will leak the authentication key.

I think it's a fair improvement of AES-GCM to remove the nonce argument. By doing so, nonces have to be randomly generated. Now the new danger is that the same nonce is randomly generated twice for the same key. The birthday bound tells us that after $2^{n/2}$ messages, $n$ being the bit-size of a nonce, you have great odds of generating a previous nonce.

The optimal rekey point has been studied by Abdalla and Bellare and can computed with the cubic root of the nonce space. If more nonces are generated after that, chances of a nonce collision are too high. For AES-GCM this means that after $2^{92/3} = 1704458900$ different messages, the key should be rotated.

This is of course assuming that you use 92-bit nonces with 32-bit counters. Some protocol and implementations will actually fix the first 32 bits of these 92-bit nonces reducing the birthday bound even further.

Isn't that a bit low?

Yes it kinda is. An interesting construction by Dan J. Bernstein called XSalsa20 (and that can be extended to XChacha20) allow us to use nonces of 192 bits. This would mean that you should be able to use the same key for up to $2^{192/3} = 18446744073709551616$ messages. Which is already twice more that what a BIG INT can store in a database

It seems like Sponge-based AEADs should benefit from large nonces as well since their rate can store even more bits. This might be a turning point for these constructions in the last round of the CAESAR competition. There are currently 4 of these: Ascon, Ketje, Keyak and NORX.

With that in mind, is nonce mis-use resistance now fixed?

EDIT: Here is a list of recent papers on the subject:

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# Implementation of Kangaroo Twelve in Go

## posted June 2017

I've released an implementation of KangarooTwelve in Go

It is heavily based on the official Go's x/crypto/sha3 library. But because of minor implementation details the relevant files have been copied and modified there so you do not need Go's SHA-3 implementation to run this package. Hopefully one day Go's SHA-3 library will be more flexible to allow other keccak construction to rely on it.

I have tested this implementation with different test vectors and it works fine. Note that it has not received proper peer review. If you look at the code and find issues (or not) please let me know!

This implementation does not yet make use of SIMD to parallelize the implementation. But we can already see improvements due to the smaller number of rounds:

 100 bytes 1000 bytes 10,000 bytes K12 761 ns/op 1875 ns/op 15399 ns/op SHA3 854 ns/op 3962 ns/op 34293 ns/op SHAKE128 668 ns/op 2853 ns/op 29661 ns/op

This was done with a very simple bench script on my 2 year-old macbook pro.

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