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Probabilistic SAT (PSAT) Attack

This is an attack coping with probabilistic and polymorphic locking/camouflaging, developed on top of the SAT attack code originally developed by Pramod Subramanyani. The latter is available at https://bitbucket.org/spramod/host15-logic-encryption

The code here is not necessarily in sync with Pramod's code -- please revisit the above repository every now and then and merge useful edits yourself!

We provide a pre-compiled binary in /bin and associated benchmarks in /benchmarks. The complete source code is also available. This binary has been tested on 64-bit Ubuntu 16.04 LTS and 18.04 LTS. To run the binary, default C++ libraries are required as well as OpenMP. Some versions of flex don't work well; 2.6.3 and 2.6.4 are found to be working. Also run ldd bin/sld for more details on which libraries are required.

To invoke the attack use the sld command in the following manner:

cd bin
./sld  ../benchmarks/PSAT/probabilistic/c432/10\%/correctness_99/c432_RTL_rnd32.bench ../benchmarks/ORIGINAL/c432_RTL.bench

The output when this command is run is something like this:

Stochastic gates count: 20
Sampling of output observations for stochastic circuits: on
Sampling iterations (for each pattern): 1000
inputs=36 keys=32 outputs=7 gates=238

<many lines snipped>

Verifying key for 10000 test patterns ...
5 % done ...
10 % done ...
15 % done ...
20 % done ...

<many lines snipped>

Average Hamming distance: 6.24429 %
 These metrics DON'T cover the sampling of I/O patterns to mitigate the stochastic behaviour of the circuit, i.e., testing considers any output pattern as is, even if they are erroneous.
key=01001110000000000101110111100000

iteration=13; backbones_count=0; cube_count=16638; cpu_time=1.432; maxrss=8.5

The penultimate output line is the inferred key value.

We enable the probabilistic computation internally, so the user has to provide a corresponding file (.stoch, residing in the same folder as the locked/camouflaged netlist). Examples can be found in the directory benchmarks/PSAT/.

A short example is also given below:

# OUTPUT_SAMPLING_ON OUTPUT_SAMPLING_ITERATIONS OUTPUT_SAMPLING_FOR_TEST_ON TEST_PATTERNS
true 1000 false 10000
# GATE_NAME ERROR_RATE(%) [POLYMORPHIC_GATE FCT_1 PROBABILITY_FOR_FCT_1(%) ... [FCT_n PROBABILITY_FOR_FCT_n(%)]]
# FCT can be any of AND, NAND, OR, NOR, XOR, XNOR, INV, BUF
NEXT_GATE
n_72 5
NEXT_GATE
n_116 5 POLYMORPHIC_GATE NAND 50 NOR 50
NEXT_GATE
n_118 0 POLYMORPHIC_GATE NAND 50 NOR 50

This means the gates n_72, n_116 each have a probability of correctness (or error) of 95% (or 5%). Furthermore, the gates n_116 and n_118 are polymorphic and can act as NAND 50% of the time and as NOR 50% of the time.

Note that definitions for probabilistic and polymorphic behaviour can be set up independently, but their effects will combine. In other words, here n_116 behaves as NAND/NOR/AND/OR with 47.5/47.5/2.5/2.5% chances, respectively. Also note that polymorphic behavior, for the SAT solver, imposes just another form of errors.

To execute the conventional/original SAT attack, simply change the first flag related to OUTPUT_SAMPLING from true to false in the header of the .stoch file

Depending on the error rates, the attack may fail:

Stochastic gates count: 20
Sampling of output observations for stochastic circuits: off
inputs=36 keys=32 outputs=7 gates=238

<many lines snipped>

Verifying key for 10000 test patterns ...
UNSAT model!
key=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

iteration=8; backbones_count=0; cube_count=10700; cpu_time=0.024; maxrss=7.5625

In those cases, the attack can be tried several times, to gauge the randomized error and attack success for multiple runs.

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This is a probabilistic SAT attack tool.

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