EA_NON_IID(1)

✨ NAME ✨

ea_non_iid — run Non-IID tests for entropy assesment, bestie 💖

🌸 SYNOPSIS 🌸

ea_non_iid [-i|-c] [-a|-t] [-v] [-q] [-l <index>,<samples> ] <file_name>
[bits_per_symbol]

🦋 DESCRIPTION 🦋

okay so basically ea_non_iid runs the Non-IID tests for entropy assesment. that's the whole vibe. let's get into it 💅

• <file_name> — must be a relative path to a binary file, and it needs at least 1 million entries (samples). no exceptions, the math needs the data fr fr.
• [bits_per_symbol] — must be between 1-8, inclusive. if you don't pass it, it just gets inferred from the data by default. iconic behaviour honestly.
• [-i|-c] — -i gives you the initial entropy estimate, -c gives you the conditioned sequential dataset entropy estimate. the initial entropy estimate is the default, so if you say nothing, that's what you get ✨
• [-a|-t] — -a produces the H_bitstring assessment using all read bits, while -t truncates the bitstring used to produce the H_bitstring assessment to 1000000 bits. testing all data is the default. also, heads up: when you're testing binary data, no H_bitstring assessment is produced at all, so -a and -t give you the same results for the initial assessment of binary data. no cap.
• -v — optional verbosity flag for more output. you can stack it multiple times if you're that girl 💅
• -q — quiet mode, less output to screen. this one overrides any verbose flags, so don't come crying if your -vs got eaten.
• -l <index>,<samples> — read the <index> substring of length <samples>.
  • samples are assumed to be packed into 8-bit values, where the least significant bits_per_symbol bits constitute the symbol.
• -i — Initial Entropy Estimate (Section 3.1.3)
  • computes the initial entropy estimate H_I as described in Section 3.1.3 (not accounting for H_submitter) using the entropy estimators specified in Section 6.3. if bits_per_symbol is greater than 1, the samples are also converted to bitstrings and assessed to create H_bitstring; for multi-bit symbols, two entropy estimates are computed: H_original and H_bitstring. returns min(H_original, bits_per_symbol X H_bitstring). the initial entropy estimate H_I = min(H_submitter, H_original, bits_per_symbol X H_bitstring).
• -c — Conditioned Sequential Dataset Entropy Estimate (Section 3.1.5.2)
  • computes the entropy estimate per bit h' for the conditioned sequential dataset if the conditioning function is non-vetted. the samples are converted to a bitstring. returns h' = min(H_bitstring).
• -o — Set Output Type to JSON
  • changes the output format to JSON and sets the file location for the output file.
• --version — prints tool version information. that's it, that's the whole thing 👑

💜 COPYRIGHT 💜

Disclaimer: NIST-developed software is provided by NIST as a public service. You may use, copy, and distribute copies of the software in any medium, provided that you keep intact this entire notice. You may improve, modify, and create derivative works of the software or any portion of the software, and you may copy and distribute such modifications or works. Modified works should carry a notice stating that you changed the software and should note the date and nature of any such change. Please explicitly acknowledge the National Institute of Standards and Technology as the source of the software.

okay this next bit is the serious one, so listen up bestie, no skipping 😭

NIST-developed software is expressly provided "AS IS." NIST MAKES NO WARRANTY OF ANY KIND, EXPRESS, IMPLIED, IN FACT, OR ARISING BY OPERATION OF LAW, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT, AND DATA ACCURACY. NIST NEITHER REPRESENTS NOR WARRANTS THAT THE OPERATION OF THE SOFTWARE WILL BE UNINTERRUPTED OR ERROR-FREE, OR THAT ANY DEFECTS WILL BE CORRECTED. NIST DOES NOT WARRANT OR MAKE ANY REPRESENTATIONS REGARDING THE USE OF THE SOFTWARE OR THE RESULTS THEREOF, INCLUDING BUT NOT LIMITED TO THE CORRECTNESS, ACCURACY, RELIABILITY, OR USEFULNESS OF THE SOFTWARE.

You are solely responsible for determining the appropriateness of using and distributing the software and you assume all risks associated with its use, including but not limited to the risks and costs of program errors, compliance with applicable laws, damage to or loss of data, programs or equipment, and the unavailability or interruption of operation. This software is not intended to be used in any situation where a failure could cause risk of injury or damage to property. The software developed by NIST employees is not subject to copyright protection within the United States.

and that's the whole page, babe 🎀 this was ea_non_iid version 1.1.5, from April 2023. go run your entropy tests, you absolute icon 🌈⭐💖