https://github.com/kuleuven-cosic/maestro

MAESTRO: Multi-party AES using Lookup Tables - Various oblivious AES protocols for passively and actively secure three-party secure computation

https://github.com/kuleuven-cosic/maestro

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MAESTRO: Multi-party AES using Lookup Tables - Various oblivious AES protocols for passively and actively secure three-party secure computation

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  • Host: GitHub
  • Owner: KULeuven-COSIC
  • License: mit
  • Language: Rust
  • Default Branch: main
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Created over 1 year ago · Last pushed 11 months ago
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README.md

MAESTRO

This crate implements different oblivious AES protocols for three parties. The new protocols are described in "MAESTRO: Multi-party AES using Lookup Tables" and appears in Usenix Security '25.

If you found the software in this repository useful, please consider citing the paper below.

citation @misc{cryptoeprint:2024/1317, author = {Hiraku Morita and Erik Pohle and Kunihiko Sadakane and Peter Scholl and Kazunari Tozawa and Daniel Tschudi}, title = {{MAESTRO}: Multi-party {AES} using Lookup Tables}, howpublished = {Cryptology {ePrint} Archive, Paper 2024/1317}, year = {2024}, url = {https://eprint.iacr.org/2024/1317} }

Our software has been awarded the functional and reproducible badges, see Artifact Appendix for more details.

Setup and Building

  1. Install Rust (https://www.rust-lang.org/tools/install) (Version 1.75 or newer).
  2. Install OpenSSL (only required for generating certificates for the benchmark setup if the benchmark is not run over localhost).
  3. Install a recent version of Python 3 and the following packages: pandas numpy (only required to parse the benchmark results).
  4. Build and run the tests RUSTFLAGS='-C target-cpu=native' cargo test --lib.
  5. Run the clmul benchmark to verify that the machine offers hardware support for carry-less multiplication RUSTFLAGS='-C target-cpu=native' cargo bench "CLMUL Multiplication". You should see similar output like:

    bash Running benches/gf2p64_mult_benchmark.rs (target/release/deps/gf2p64_mult_benchmark-1203033260aede3b) Gnuplot not found, using plotters backend Benchmarking CLMUL Multiplication: Collecting 100 samples in estimated 5.0000 s CLMUL Multiplication time: [2.2679 ns 2.2710 ns 2.2742 ns] Found 5 outliers among 100 measurements (5.00%) 2 (2.00%) high mild 3 (3.00%) high severe

    If so, then clmul has hardware support.

  6. Build the benchmark binary RUSTFLAGS='-C target-cpu=native' cargo build --release --bin maestro --features="clmul".

Running benchmarks

The benchmark always requires three parties. These can all be run on one machine (and communicate via localhost) or are on separate machines.

On localhost

Running three parties on localhost requires no additional configuration. The config files in the repository p1.toml, p2.toml and p3.toml as well as the required key material keys/p{i}.key/keys/p{i}.pem is already prepared and should work out of the box.

The CLI for the benchmark binary (found in target/release/maestro) offers some description and help on the parameters. It looks as follows

```bash $> target/release/maestro -h Usage: maestro [OPTIONS] --config --rep [TARGET]...

Arguments: [TARGET]... [possible values: chida, mal-chida, mal-chida-rec-check, lut16, gf4-circuit, lut256, lut256-ss, mal-lut256-ss, mal-lut256-ss-opt, mal-lut16-bitstring, mal-lut16-ohv, mal-gf4-circuit, mal-gf4-circuit-opt]

Options: --config
--threads The number of worker threads. Set to 0 to indicate the number of cores on the machine. Optional, default single-threaded --simd ... The number of parallel AES calls to benchmark. You can pass multiple values. --rep The number repetitions of the protocol execution --csv Path to write benchmark result data as CSV. Default: result.csv [default: result.csv] --all If set, benchmark all protocol variants and ignore specified targets. --aes256 If set, the benchmark will compute AES-256, otherwise AES-128 is computed -h, --help Print help (see more with '--help') ```

The benchmark binary runs the specified protocols <REP> times, each computing the forward direction of <SIMD> AES blocks in parallel (without keyschedule). The relevant time and communication metrics are written to the file <CSV> in csv format.

The protocols are (all references refer to the published version of the paper)

  • with semi-honest security
    • chida: the baseline work from Chida et al., "High-Throughput Secure AES Computation" in WAHC'18. In the paper this is named GF(2^8)-Circuit.
    • lut16: the protocol described in Sect. 3.2 and 3.3 using a length-16 one hot vector for GF(2^4) inversion (Protocol 3 and 4 with preprocessing from Protocol 8)
    • gf4-circuit: the protocol described in Sect. 3.2 where GF(2^4) inversion is computed via x^2 * x^4 * x^8 (Protocol 3)
    • lut256: S-box computed via 8-bit LUT as described in Sect. 3.5.2 (Protocol 4 with preprocessing from Protocol 5). In the paper this is named (2,3)-LUT-256.
    • lut256-ss: S-box computed via 8-bit LUT in additive secret sharing, as described in Sect. 3.5.3 (Protocol 6 and 7 with preprocessing from Protocol 8). In the paper this named (3,3)-LUT-256.
  • with active security
    • mal-chida: the maliciously secure adaptation of the chida baseline. In the paper this is named GF(2^8)-Circuit.
    • mal-chida-rec-check: the maliciously secure adaptation of the chida baseline using the multiplication verification check from Sect. 2.9 (Protocol 2).
    • mal-lut16-bitstring: maliciously secure version of lut16 using the multiplication verification check from Sect. 2.9 (Protocol 2). Note this protocol is the unoptimized version of mal-lut16-ohv and was not reported in the benchmark in the paper
    • mal-lut16-ohv: maliciously secure version of lut16 using the multiplication verification check from Sect. 2.9 (Protocol 2) with reduced number of multiplications to verify (cf. Sect. 3.2).
    • mal-gf4-circuit: maliciously secure version of gf4-circuit using the multiplication verification check from Sect. 2.9 (Protocol 2). Note this protocol is the unoptimized version of mal-gf4-circuit-opt and was not reported in the benchmark in the paper
    • mal-gf4-circuit-opt: maliciously secure version of gf4-circuit using the multiplication verification check from Sect. 2.9 (Protocol 2) with reduced number of multiplications to verify (cf. Sect. 3.2).
    • mal-lut256-ss: maliciously secure version of lut256-ss using the multiplication verification check from Sect. 2.9 (Protocol 2) and VerifySbox (Protocol 7) from Sect. 2.5.3. In the paper this named (3,3)-LUT-256. Note this protocol is the unoptimized version of mal-lut256-ss-opt and was not reported in the benchmark in the paper
    • mal-lut256-ss-opt: maliciously secure version of lut256-ss using the multiplication verification check from Sect. 2.9 (Protocol 2) and VerifySbox (Protocol 7) from Sect. 2.5.3. In the paper this named (3,3)-LUT-256.

To start the benchmark, run (in 3 terminals)

  • target/release/maestro --config p1.toml --threads 4 --simd 100000 --rep 10 --csv result-p1.csv chida lut16 gf4-circuit lut256 lut256-ss mal-chida mal-chida-rec-check mal-lut16-ohv mal-gf4-circuit-opt mal-lut256-ss-opt
  • target/release/maestro --config p2.toml --threads 4 --simd 100000 --rep 10 --csv result-p2.csv chida lut16 gf4-circuit lut256 lut256-ss mal-chida mal-chida-rec-check mal-lut16-ohv mal-gf4-circuit-opt mal-lut256-ss-opt
  • target/release/maestro --config p3.toml --threads 4 --simd 100000 --rep 10 --csv result-p3.csv chida lut16 gf4-circuit lut256 lut256-ss mal-chida mal-chida-rec-check mal-lut16-ohv mal-gf4-circuit-opt mal-lut256-ss-opt

(where the number of threads, SIMD etc can be adapted depending on the capabilities of the machine). The protocols lut256, lut256-ss and mal-lut256-ss-opt are very RAM intensive, so the SIMD parameter may need to be reduced. To test the benchmark setup on a commodity laptop (e.g., 8GB RAM, --simd 100000 works well for all but the LUT-256 protocols. For LUT-256 protocols, --simd 10000 works well)

The benchmark should print some information about the progress. Note that it waits 2 seconds between each run to give proper time to shutdown all network components.

At the end, the benchmark should print something like this

bash Benchmarking chida Iteration 1 <...> Writing CSV-formatted benchmark results to result-p1.csv

and result-p1.csv, result-p2.csv, result-p3.csv should be created.

On three different machines

Suppose that the machines are reachable under IP addresses M1:PORT1, M2:PORT2 and M3:PORT3.

  1. Create matching TLS certificates in keys folder:

    • for each machine, create openssl-config-mX.txt with the following content

    text [ req ] default_md = sha256 prompt = no req_extensions = req_ext distinguished_name = req_distinguished_name [ req_distinguished_name ] commonName = Party 1 countryName = XX organizationName = MPC Org [ req_ext ] keyUsage=critical,digitalSignature,keyEncipherment extendedKeyUsage=critical,serverAuth,clientAuth [ SAN ] subjectAltName = IP:M1 <-- change the IP address to e.g. IP:192.168.1.10

- Run

```bash
for i in "m1" "m2" "m3" 
do
    openssl genpkey -algorithm ED25519 > $i.key
    openssl req -new -out req.csr -key $i.key -sha256 -nodes -extensions v3_req -reqexts SAN -config openssl-config-$i.txt
    openssl x509 -req  -days 3650 -in req.csr -signkey $i.key -out $i.pem -extfile openssl-config-$i.txt -extensions SAN
done
rm req.csr
```

to generate the certificates.
  1. (In the main folder) Create TOML config files for each machine, e.g. m1.toml as

    ```toml partyindex = 1 <-- set to 1, 2 or 3 [p1] address = "127.0.0.1" <-- IP address of party 1 port = 8100 <-- port of party 1 certificate = "keys/m1.pem" <-- path to certificate of party 1 (required) privatekey = "keys/m1.key" <-- path to corresponding private key of party 1 (optional if party_index != 1)

    [p2] address = "127.0.0.1" port = 8101 certificate = "keys/m2.pem" private_key = "keys/m2.key"

    [p3] address = "127.0.0.1" port = 8102 certificate = "keys/m3.pem" private_key = "keys/m3.key" ```

  2. Make sure that config file m1.toml is on machine 1, m2.toml on machine 2, etc. and that all certificates (.pem) files are on all machines.

  3. (optional) change network settings using, e.g., tc: tc qdisc add dev <iface name> root netem rate <bandwidth> delay <0.5 * RTT>. This will limit the bandwidth to <bandwidth> and result in a minimum round trip time of <RTT> on the network interface device named iface name (running ip addr show will list all network interfaces). For example, to simulate a 200 Mbit/s network with 15ms RTT, use tc qdisc add dev <iface name> root netem rate 200mbit delay 7.5ms

  4. Now the benchmark can be started as in the localhost case with similar CLI parameters (switching p1.toml with m1.toml, ...)

Processing the benchmark data

The generated CSV files have the following format

| protocol | simd | pre-processing-time | online-time | finalize-time | pre-processing-bytes-sent-to-next | pre-processing-bytes-received-from-next | pre-processing-bytes-rounds-next | pre-processing-bytes-sent-to-prev | pre-processing-bytes-received-from-prev | pre-processing-bytes-rounds-prev | online-bytes-sent-to-next | online-bytes-received-from-next | online-bytes-rounds-next | online-bytes-sent-to-prev | online-bytes-received-from-prev | online-bytes-rounds-prev | finalize-bytes-sent-to-next | finalize-bytes-received-from-next | finalize-bytes-rounds-next | finalize-bytes-sent-to-prev | finalize-bytes-received-from-prev | finalize-bytes-rounds-prev | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ |

which is processed by running python parse-csv.py <file1.csv> <file2.csv> <file3.csv>.

The script collects the maximum value of each column and protocol execution from the three parties, so we report the execution times of the slowest of the three parties per protocol run. The slowest time per execution is then averaged ove the number of repeated executions. Taking the number of AES blocks (SIMD) into account, the script also outputs the throughput in blocks per second of the pre-processing and online phase.

An example output is

SIMD = 50000

| Protocol | Prep Time | Prep Data (MB) | Online Time | Online Data (MB) | Finalize Time | Prep Throughput | Online Throughput | Total Throughput | | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | | chida | | | 0.44 | 32.00 | 0.00 | | 114 528 | 114 528 | | gf4-circuit | | | 0.32 | 20.00 | 0.00 | | 158 013 | 158 013 | | lut16 | 0.24 | 11.00 | 0.30 | 16.00 | 0.00 | 206 463 | 167 955 | 92 614 | | lut256 | 4.60 | 247.00 | 0.42 | 8.00 | 0.00 | 10 867 | 117 704 | 9 949 | | lut256_ss | 0.97 | 22.00 | 0.34 | 16.00 | 0.00 | 51 596 | 148 917 | 38 319 | | mal-chida | 9.57 | 234.88 | 0.87 | 96.00 | 0.70 | 5 226 | 31 908 | 4 490 | | mal-chida-rec-check | | | 0.83 | 32.00 | 2.18 | | 16 626 | 16 626 | | mal-gf4-circuit | | | 0.55 | 20.00 | 3.88 | | 11 293 | 11 293 | | mal-gf4-circuit-gf4p4 | | | 0.98 | 20.00 | 2.08 | | 16 347 | 16 347 | | mal-lut16-bitstring | 1.24 | 11.00 | 0.71 | 16.00 | 2.22 | 40 376 | 17 037 | 11 981 | | mal-lut16-ohv | 0.30 | 11.00 | 0.70 | 16.00 | 2.18 | 167 899 | 17 365 | 15 737 | | mal-lut256-ss | 1.04 | 22.00 | 0.49 | 16.00 | 14.89 | 48 049 | 3 250 | 3 044 | | mal-lut256-ss-opt | 1.07 | 22.00 | 0.55 | 16.00 | 3.90 | 46 658 | 11 229 | 9 051 |

| Protocol | Latency (ms) | | ----- | ----- | | chida | 437 | | gf4-circuit | 316 | | lut16 | 298 | | lut256 | 425 | | lut256_ss | 336 | | mal-chida | 1567 | | mal-chida-rec-check | 3007 | | mal-gf4-circuit | 4427 | | mal-gf4-circuit-gf4p4 | 3059 | | mal-lut16-bitstring | 2935 | | mal-lut16-ohv | 2879 | | mal-lut256-ss | 15382 | | mal-lut256-ss-opt | 4453 |

SIMD = 100000

| Protocol | Prep Time | Prep Data (MB) | Online Time | Online Data (MB) | Finalize Time | Prep Throughput | Online Throughput | Total Throughput | | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | | chida | | | 0.90 | 64.00 | 0.00 | | 110 956 | 110 956 | | gf4-circuit | | | 0.58 | 40.00 | 0.00 | | 172 312 | 172 312 | | lut16 | 0.43 | 22.00 | 0.56 | 32.00 | 0.00 | 231 412 | 179 335 | 101 036 | | lut256 | 9.15 | 494.00 | 1.01 | 16.00 | 0.00 | 10 928 | 99 155 | 9 843 | | lut256_ss | 1.85 | 44.00 | 0.70 | 32.00 | 0.00 | 54 056 | 142 052 | 39 156 | | mal-chida | 19.82 | 469.76 | 1.61 | 192.00 | 1.36 | 5 045 | 33 646 | 4 387 | | mal-chida-rec-check | | | 1.70 | 64.00 | 4.00 | | 17 559 | 17 559 | | mal-gf4-circuit | | | 1.08 | 40.00 | 7.64 | | 11 477 | 11 477 | | mal-gf4-circuit-gf4p4 | | | 1.95 | 40.00 | 3.88 | | 17 165 | 17 165 | | mal-lut16-bitstring | 3.08 | 22.00 | 1.72 | 32.00 | 4.00 | 32 452 | 17 487 | 11 363 | | mal-lut16-ohv | 0.55 | 22.00 | 1.43 | 32.00 | 3.92 | 180 460 | 18 691 | 16 937 | | mal-lut256-ss | 2.11 | 44.00 | 1.08 | 32.00 | 31.04 | 47 465 | 3 112 | 2 921 | | mal-lut256-ss-opt | 1.98 | 44.00 | 0.96 | 32.00 | 7.82 | 50 482 | 11 381 | 9 287 |

| Protocol | Latency (ms) | | ----- | ----- | | chida | 901 | | gf4-circuit | 580 | | lut16 | 558 | | lut256 | 1009 | | lut256_ss | 704 | | mal-chida | 2972 | | mal-chida-rec-check | 5695 | | mal-gf4-circuit | 8713 | | mal-gf4-circuit-gf4p4 | 5826 | | mal-lut16-bitstring | 5718 | | mal-lut16-ohv | 5350 | | mal-lut256-ss | 32125 | | mal-lut256-ss-opt | 8786 |

SIMD = 250000

| Protocol | Prep Time | Prep Data (MB) | Online Time | Online Data (MB) | Finalize Time | Prep Throughput | Online Throughput | Total Throughput | | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | | chida | | | 2.01 | 160.00 | 0.00 | | 124 290 | 124 290 | | gf4-circuit | | | 1.39 | 100.00 | 0.00 | | 179 369 | 179 369 | | lut16 | 1.12 | 55.00 | 1.38 | 80.00 | 0.00 | 222 340 | 180 606 | 99 656 | | lut256 | 22.56 | 1235.00 | 2.49 | 40.00 | 0.00 | 11 083 | 100 214 | 9 979 | | lut256_ss | 4.74 | 110.00 | 2.12 | 80.00 | 0.00 | 52 769 | 117 991 | 36 462 | | mal-chida | 84.70 | 1879.05 | 4.11 | 480.00 | 3.66 | 2 951 | 32 185 | 2 703 | | mal-chida-rec-check | | | 3.47 | 160.00 | 15.42 | | 13 235 | 13 235 | | mal-gf4-circuit | | | 2.56 | 100.00 | 15.70 | | 13 689 | 13 689 | | mal-gf4-circuit-gf4p4 | | | 5.22 | 100.00 | 8.06 | | 18 829 | 18 829 | | mal-lut16-bitstring | 8.45 | 55.00 | 5.05 | 80.00 | 15.67 | 29 580 | 12 067 | 8 570 | | mal-lut16-ohv | 1.33 | 55.00 | 4.18 | 80.00 | 8.90 | 187 348 | 19 113 | 17 344 | | mal-lut256-ss | 5.60 | 110.00 | 2.98 | 80.00 | 65.72 | 44 630 | 3 639 | 3 364 | | mal-lut256-ss-opt | 5.22 | 110.00 | 2.82 | 80.00 | 15.64 | 47 884 | 13 547 | 10 560 |

| Protocol | Latency (ms) | | ----- | ----- | | chida | 2011 | | gf4-circuit | 1394 | | lut16 | 1384 | | lut256 | 2495 | | lut256_ss | 2119 | | mal-chida | 7767 | | mal-chida-rec-check | 18888 | | mal-gf4-circuit | 18262 | | mal-gf4-circuit-gf4p4 | 13277 | | mal-lut16-bitstring | 20717 | | mal-lut16-ohv | 13079 | | mal-lut256-ss | 68700 | | mal-lut256-ss-opt | 18453 |

Raw Data of the benchmarks reported in the paper

The raw data of the experiments that are reported in the paper can be found in the benchmark-data folder. The csv data format is the same as described above.

Throughput

  • benchmark-data/10Gbit contains data of all protocols in the 10 Gbit/s network with batch sizes 50 000, 100 000 and 250 000.
  • benchmark-data/1Gbit contains data of all protocols in the 1 Gbit/s network with batch sizes 50 000, 100 000 and 250 000.
  • benchmark-data/200Mbps-15msRTT contains data of all protocols in the 200 Mbit/s with 15ms round trip time network with batch sizes 50 000, 100 000 and 150 000.
  • benchmark-data/100Mbps-30msRTT contains data of all protocols in the 100 Mbit/s with 30ms round trip time network with batch sizes 10 000, 50 000 and 100 000.
  • benchmark-data/50Mbps-100msrtt contains data of all protocols in the WAN network (50 Mbit/s with 100ms round trip time) with batch sizes 10 000m 50 000 and 100 000.

Latency

  • benchmark-data/10Gbit-latency contains data for 1 AES block in the 10 Gbit/s network,
  • benchmark-data/1Gbit-latency contains data for 1 AES block in the 1 Gbit/s network,
  • benchmark-data/200Mbps-15msRTT-latency contains data for 1 AES block in the 200 Mbit/s with 15ms round trip time,
  • benchmark-data/100Mbps-30msRTT-latency contains data for 1 AES block in the 100 Mbit/s with 30ms round trip time,
  • benchmark-data/50Mbps-100msrtt-latency contains data for 1 AES block in the WAN network.

Documentation

All details on the implemented protocols are found in the research paper.

To generate and view the code documentation run

bash cargo doc --open

To find the location in the source code of each protocol, first check the corresponding ProtocolVariant value in main.rs and follow its use.

All protocols are implemented via XXParty wrapper that represent the collection of subprotocols. Some optimizations are implemented via flags that are set during the setup of XXParty.

| Protocol Name| Wrapper Class | Notes | |--|--|--| | chida | chida::ChidaBenchmarkParty in src/chida/mod.rs | | | lut16| wollut16::WL16Party in src/wollut16/mod.rs | | | gf4-circuit | gf4_circuit::GF4CircuitSemihonestParty in src/gf4circuit/mod.rs | | | lut256 | lut256::LUT256Party in src/lut256/mod.rs | | | lut256-ss | lut256::Lut256SSParty in src/lut256/lut256ss.rs | | | mal-chida | furukawa::FurukawaParty in src/furukawa/mod.rs | | | mal-chida-rec-check | furukawa::FurukawaParty in src/furukawa/mod.rs | see options in FurukawaParty::setup | | mal-lut16-bitstring | wollut16_malsec::WL16ASParty in src/wollut16malsec/mod.rs | | | mal-lut16-ohv | `wollut16malsec::WL16ASPartyin src/wollut16_malsec/mod.rs | see options inWL16ASParty::setup| |mal-gf4-circuit|gf4circuitmalsec::GF4CircuitASPartyin src/gf4_circuit_malsec/mod.rs | | | mal-gf4-circuit-opt | gf4_circuit_malsec::GF4CircuitASParty in src/gf4circuitmalsec/mod.rs | see options in GF4CircuitASParty::setup | | mal-lut256-ss | lut256::Lut256SSMalParty in src/lut256/lut256ss.rs | | | mal-lut256-ss-opt | lut256::Lut256SSMalParty in src/lut256/lut256ss.rs | see options in Lut256SSMalParty::setup |

Owner

  • Name: KU Leuven - COSIC
  • Login: KULeuven-COSIC
  • Kind: organization

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Dependencies

Cargo.toml cargo