diff options
Diffstat (limited to 'fuzz/fuzz_alg_hw_rsi_outliers_da.cpp')
| -rw-r--r-- | fuzz/fuzz_alg_hw_rsi_outliers_da.cpp | 10 |
1 files changed, 8 insertions, 2 deletions
diff --git a/fuzz/fuzz_alg_hw_rsi_outliers_da.cpp b/fuzz/fuzz_alg_hw_rsi_outliers_da.cpp index 3ea9551e4..6e4f2af17 100644 --- a/fuzz/fuzz_alg_hw_rsi_outliers_da.cpp +++ b/fuzz/fuzz_alg_hw_rsi_outliers_da.cpp @@ -16,10 +16,12 @@ extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) { u_int8_t additive_seeasonal; double alpha, beta, gamma, forecast, confidence_band; float significance; - u_int32_t *values; + u_int32_t *values, predict_periods; + u_int32_t prediction; bool *outliers; - /* Use the same (integral) dataset to peform: RSI, Data analysis, HW and outliers */ + /* Use the same (integral) dataset to peform: RSI, Data analysis, HW, outliers + and linear regression */ /* Just to have some data */ if(fuzzed_data.remaining_bytes() < 1024) @@ -57,6 +59,9 @@ extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) { max_series_len = fuzzed_data.ConsumeIntegral<u_int16_t>(); a = ndpi_alloc_data_analysis(max_series_len); + /* Init Linear Regression */ + predict_periods = fuzzed_data.ConsumeIntegral<u_int8_t>(); + /* Calculate! */ for (i = 0; i < num_values; i++) { if (rc_hw == 0) @@ -66,6 +71,7 @@ extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) { ndpi_data_add_value(a, values[i]); } ndpi_find_outliers(values, outliers, num_values); + ndpi_predict_linear(values, num_values, predict_periods, &prediction); /* Data analysis stuff */ ndpi_data_average(a); |