Remove clutter from break_script folder
This commit is contained in:
@@ -1,94 +0,0 @@
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#!/usr/bin/env julia
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include("util.jl")
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include("sbox.jl")
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include("plotutils.jl")
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import CSV
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using Formatting
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function parse_csv(filename)
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data = CSV.read(filename, header=0)
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plaintexts::Matrix{UInt8} = convert(Matrix{UInt8}, data[:, 1:16])
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timings::Matrix{UInt32} = convert(Matrix{UInt32}, data[:, 17:17])
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return plaintexts, timings
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end
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function break_encryption()
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plaintexts, timings = parse_csv("timing.csv")
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t_values = Vector{Float64}(undef, 0x100)
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for keybyte=1:16
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for key=0:0xFF
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msb_set = (sbox[(plaintexts[:, keybyte] .⊻ key) .+ 1] .& 0x80) .!= 0
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group_slow = timings[msb_set]
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group_fast = timings[msb_set.==false]
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t_values[key + 1] = t_val(group_fast, group_slow)
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end
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print(format("{:02x} ", argmax(t_values) - 1))
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end
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println()
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plot_discrete_tval(0:0xFF, t_values, "key")
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end
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function roundkey_g(last, round)
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rc = [0b00000001, 0b00000010, 0b00000100, 0b00001000, 0b00010000, 0b00100000, 0b01000000, 0b10000000, 0x1b, 0x1b << 1]
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next = Vector{UInt8}(undef, 4)
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next[4] = sbox[last[1] + 1]
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next[1] = sbox[last[2] + 1] ⊻ rc[round]
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next[2:3] = sbox[last[3:4] .+ 1]
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return next
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end
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function build_key_schedule(initial_key)
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round_keys = Matrix{UInt8}(undef, 11, 16)
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round_keys[1, :] = initial_key
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for r=2:11
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round_keys[r, 1:4] = round_keys[r - 1, 1:4] .⊻ roundkey_g(round_keys[r - 1, 13:16], r - 1)
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round_keys[r, 5:8] = round_keys[r, 1:4] .⊻ round_keys[r - 1, 5:8]
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round_keys[r, 9:12] = round_keys[r, 5:8] .⊻ round_keys[r - 1, 9:12]
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round_keys[r, 13:16] = round_keys[r, 9:12] .⊻ round_keys[r - 1, 13:16]
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end
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return round_keys
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end
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function gf_mult2(value::UInt8)::UInt8
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result = value << 1
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if value & 0x80 != 0
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result ⊻= value
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end
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return result
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end
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function gf_mult3(value::UInt8)::UInt8
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return gf_mult2(value) ⊻ value
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end
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function break_decryption()
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keys, timings = parse_csv("timing.csv")
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round_keys = Array{UInt8, 3}(undef,11, size(keys, 1), 16)
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@Threads.threads for keyno=1:size(keys, 1)
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round_keys[:, keyno, :] = build_key_schedule(keys[keyno, :])
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end
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t_values = Vector{Float64}(undef, 0x100)
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shiftrows = [0, 5, 10, 15, 4, 9, 14, 3, 8, 13, 2, 7, 12, 1, 6, 11] .+ 1
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r_shiftrows = [0, 13, 10, 7, 4, 1, 14, 11, 8, 5, 2, 15, 12, 9, 6, 3] .+ 1
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byte1 = shiftrows[1]
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byte2 = shiftrows[2]
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byte3 = shiftrows[3]
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byte4 = shiftrows[4]
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high_tvalues = [Vector{Any}(undef, 0) for i=1:Threads.nthreads()]
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@Threads.threads for p1=0xA0:0xA0
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for p2=0x00:0x00, p3=0x70:0x80, p4=0xD0:0xE0
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msbs_set = (gf_mult2.(sbox[p1 .⊻ round_keys[1, :, byte1] .+ 1]) .⊻ gf_mult3.(sbox[p2 .⊻ round_keys[1, :, byte2] .+ 1]) .⊻ sbox[p3 .⊻ round_keys[1, :, byte3] .+ 1] .⊻ sbox[p4 .⊻ round_keys[1, :, byte4] .+ 1]) .& 0xC0 .!= 0
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group_slow = timings[msbs_set]
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group_fast = timings[msbs_set.==false]
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t_value = t_val(group_fast, group_slow)
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if abs(t_value) > 4
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push!(high_tvalues[Threads.threadid()], (p1, p2, p3, p4, t_value))
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end
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end
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end
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println(high_tvalues)
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end
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@time break_decryption()
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@@ -1,14 +0,0 @@
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#!/usr/bin/env julia
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using Plots
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function plot_discrete_tval(index, t_values, xlabel; size=(800, 533))
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t_plot = plot(index, t_values, legend=false, minorgrid=true, xlabel=xlabel, ylabel="t-value", size=size)
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hline!(t_plot, [4.5])
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return t_plot
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end
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function plot_power_measurements(index, t_values; size=(800, 533), color=:auto)
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t_plot = plot(index, t_values, legend=false, minorgrid=true, xlabel="time", ylabel="power comsumption", size=size, color=color, linealpha=0.5, dpi=250)
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return t_plot
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end
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@@ -1,39 +0,0 @@
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#!/usr/bin/env julia
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const sbox = [
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0x63, 0x7c, 0x77, 0x7b, 0xf2, 0x6b, 0x6f, 0xc5, 0x30, 0x01, 0x67, 0x2b, 0xfe, 0xd7, 0xab, 0x76,
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0xca, 0x82, 0xc9, 0x7d, 0xfa, 0x59, 0x47, 0xf0, 0xad, 0xd4, 0xa2, 0xaf, 0x9c, 0xa4, 0x72, 0xc0,
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0xb7, 0xfd, 0x93, 0x26, 0x36, 0x3f, 0xf7, 0xcc, 0x34, 0xa5, 0xe5, 0xf1, 0x71, 0xd8, 0x31, 0x15,
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0x04, 0xc7, 0x23, 0xc3, 0x18, 0x96, 0x05, 0x9a, 0x07, 0x12, 0x80, 0xe2, 0xeb, 0x27, 0xb2, 0x75,
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0x09, 0x83, 0x2c, 0x1a, 0x1b, 0x6e, 0x5a, 0xa0, 0x52, 0x3b, 0xd6, 0xb3, 0x29, 0xe3, 0x2f, 0x84,
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0x53, 0xd1, 0x00, 0xed, 0x20, 0xfc, 0xb1, 0x5b, 0x6a, 0xcb, 0xbe, 0x39, 0x4a, 0x4c, 0x58, 0xcf,
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0xd0, 0xef, 0xaa, 0xfb, 0x43, 0x4d, 0x33, 0x85, 0x45, 0xf9, 0x02, 0x7f, 0x50, 0x3c, 0x9f, 0xa8,
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0x51, 0xa3, 0x40, 0x8f, 0x92, 0x9d, 0x38, 0xf5, 0xbc, 0xb6, 0xda, 0x21, 0x10, 0xff, 0xf3, 0xd2,
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0xcd, 0x0c, 0x13, 0xec, 0x5f, 0x97, 0x44, 0x17, 0xc4, 0xa7, 0x7e, 0x3d, 0x64, 0x5d, 0x19, 0x73,
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0x60, 0x81, 0x4f, 0xdc, 0x22, 0x2a, 0x90, 0x88, 0x46, 0xee, 0xb8, 0x14, 0xde, 0x5e, 0x0b, 0xdb,
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0xe0, 0x32, 0x3a, 0x0a, 0x49, 0x06, 0x24, 0x5c, 0xc2, 0xd3, 0xac, 0x62, 0x91, 0x95, 0xe4, 0x79,
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0xe7, 0xc8, 0x37, 0x6d, 0x8d, 0xd5, 0x4e, 0xa9, 0x6c, 0x56, 0xf4, 0xea, 0x65, 0x7a, 0xae, 0x08,
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0xba, 0x78, 0x25, 0x2e, 0x1c, 0xa6, 0xb4, 0xc6, 0xe8, 0xdd, 0x74, 0x1f, 0x4b, 0xbd, 0x8b, 0x8a,
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0x70, 0x3e, 0xb5, 0x66, 0x48, 0x03, 0xf6, 0x0e, 0x61, 0x35, 0x57, 0xb9, 0x86, 0xc1, 0x1d, 0x9e,
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0xe1, 0xf8, 0x98, 0x11, 0x69, 0xd9, 0x8e, 0x94, 0x9b, 0x1e, 0x87, 0xe9, 0xce, 0x55, 0x28, 0xdf,
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0x8c, 0xa1, 0x89, 0x0d, 0xbf, 0xe6, 0x42, 0x68, 0x41, 0x99, 0x2d, 0x0f, 0xb0, 0x54, 0xbb, 0x16 ];
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const r_sbox = [
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0x52, 0x09, 0x6a, 0xd5, 0x30, 0x36, 0xa5, 0x38, 0xbf, 0x40, 0xa3, 0x9e, 0x81, 0xf3, 0xd7, 0xfb,
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0x7c, 0xe3, 0x39, 0x82, 0x9b, 0x2f, 0xff, 0x87, 0x34, 0x8e, 0x43, 0x44, 0xc4, 0xde, 0xe9, 0xcb,
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0x54, 0x7b, 0x94, 0x32, 0xa6, 0xc2, 0x23, 0x3d, 0xee, 0x4c, 0x95, 0x0b, 0x42, 0xfa, 0xc3, 0x4e,
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0x08, 0x2e, 0xa1, 0x66, 0x28, 0xd9, 0x24, 0xb2, 0x76, 0x5b, 0xa2, 0x49, 0x6d, 0x8b, 0xd1, 0x25,
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0x72, 0xf8, 0xf6, 0x64, 0x86, 0x68, 0x98, 0x16, 0xd4, 0xa4, 0x5c, 0xcc, 0x5d, 0x65, 0xb6, 0x92,
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0x6c, 0x70, 0x48, 0x50, 0xfd, 0xed, 0xb9, 0xda, 0x5e, 0x15, 0x46, 0x57, 0xa7, 0x8d, 0x9d, 0x84,
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0x90, 0xd8, 0xab, 0x00, 0x8c, 0xbc, 0xd3, 0x0a, 0xf7, 0xe4, 0x58, 0x05, 0xb8, 0xb3, 0x45, 0x06,
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0xd0, 0x2c, 0x1e, 0x8f, 0xca, 0x3f, 0x0f, 0x02, 0xc1, 0xaf, 0xbd, 0x03, 0x01, 0x13, 0x8a, 0x6b,
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0x3a, 0x91, 0x11, 0x41, 0x4f, 0x67, 0xdc, 0xea, 0x97, 0xf2, 0xcf, 0xce, 0xf0, 0xb4, 0xe6, 0x73,
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0x96, 0xac, 0x74, 0x22, 0xe7, 0xad, 0x35, 0x85, 0xe2, 0xf9, 0x37, 0xe8, 0x1c, 0x75, 0xdf, 0x6e,
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0x47, 0xf1, 0x1a, 0x71, 0x1d, 0x29, 0xc5, 0x89, 0x6f, 0xb7, 0x62, 0x0e, 0xaa, 0x18, 0xbe, 0x1b,
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0xfc, 0x56, 0x3e, 0x4b, 0xc6, 0xd2, 0x79, 0x20, 0x9a, 0xdb, 0xc0, 0xfe, 0x78, 0xcd, 0x5a, 0xf4,
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0x1f, 0xdd, 0xa8, 0x33, 0x88, 0x07, 0xc7, 0x31, 0xb1, 0x12, 0x10, 0x59, 0x27, 0x80, 0xec, 0x5f,
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0x60, 0x51, 0x7f, 0xa9, 0x19, 0xb5, 0x4a, 0x0d, 0x2d, 0xe5, 0x7a, 0x9f, 0x93, 0xc9, 0x9c, 0xef,
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0xa0, 0xe0, 0x3b, 0x4d, 0xae, 0x2a, 0xf5, 0xb0, 0xc8, 0xeb, 0xbb, 0x3c, 0x83, 0x53, 0x99, 0x61,
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0x17, 0x2b, 0x04, 0x7e, 0xba, 0x77, 0xd6, 0x26, 0xe1, 0x69, 0x14, 0x63, 0x55, 0x21, 0x0c, 0x7d ];
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const irreducible_polynom = 0x1b
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500000
break_script/timing.csv
500000
break_script/timing.csv
File diff suppressed because it is too large
Load Diff
@@ -1,51 +0,0 @@
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#!/usr/bin/env julia
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using Statistics
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function t_val(group_fast, group_slow)::Float64
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if size(group_fast, 1) == 0 || size(group_slow, 1) == 0
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return 0
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end
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mean_slow = mean(group_slow)
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mean_fast = mean(group_fast)
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s_slow = var(group_slow, mean=mean_slow)
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s_fast = var(group_fast, mean=mean_fast)
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return (mean_slow - mean_fast) / sqrt(s_slow / size(group_slow, 1) + s_fast / size(group_fast, 1))
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end
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function filter_peaks(data::Matrix{T})::Matrix{T} where T
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m = mean(data, dims=2)
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blocks = data .> m
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blocks = hcat(.!blocks[:, 1], blocks)
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is_edge = blocks[:, 1:end-1] .!= blocks[:, 2:end]
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no_peaks = maximum([count(is_edge[row, :]) - 1 for row=1:size(data, 1)])
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peaks = zeros(T, size(data, 1), no_peaks)
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@Threads.threads for row_no=1:size(data, 1)
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row = data[row_no, :]
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separators = findall(is_edge[row_no, :])
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for block_no=1:size(separators, 1)-1
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lsep, rsep = separators[block_no:block_no+1]
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bm = mean(row[lsep:rsep])
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if bm > m[row_no]
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peaks[row_no, block_no] = maximum(row[lsep:rsep])
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else
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peaks[row_no, block_no] = minimum(row[lsep:rsep])
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end
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end
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end
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return peaks
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end
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function load_file(filename, type::Type{T})::Matrix{T} where T
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open(filename, "r") do file
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field_size = read(file, UInt8)
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if field_size != sizeof(T)
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throw(ArgumentError(format("Expected type of size {:d} but passed type '{}' has size {:d}", field_size, T, sizeof(T))))
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end
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rows = read(file, UInt64)
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cols = read(file, UInt64)
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data = Matrix{T}(undef, rows, cols)
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read!(file, data)
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return data
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end
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end
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Reference in New Issue
Block a user