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Password bits of entropy

How to Calculate Password Entropy? - Password Generato

Password entropy predicts how difficult a given password would be to crack through guessing, brute force cracking, dictionary attacks or other common methods. Entropy essentially measures how many guesses an attacker will need to make to guess your password Your 10-character, upper/lower-case string (password) has 57.004 bits of entropy A password with an entropy of 42 bits calculated in this way would be as strong as a string of 42 bits chosen randomly, for example by a fair coin toss. Put another way, a password with an entropy of 42 bits would require 2 42 (4,398,046,511,104) attempts to exhaust all possibilities during a brute force search. Thus, increasing the entropy of. Measuring entropy of a passphrase is often tricky. For example, if you follow NIST guidelines for measuring entropy of human-generated password then entropy of your both passwords will be ~33 bits. I would say even at 33 bits this is OK for intended purposes, however, you're doing one thing very wrong: you should NEVER EVER reuse a password

A Somewhat Brief Explanation of Password Entropy IT Doj

Password strength - Wikipedi

  1. For example: A password with 8 characters has an entropy of 51 bits when chosen out of 83 chars, while it has 52 bits (only 1 more!) when chosen out of 94 chars. But if we extend the password to a length of 10, the 83 charset achieves an entropy of 63 bits, which is 12 bits more than before
  2. A hash doesn't increase entropy, it just, so to speak, distills it. Since SHA256 produces 256 bits of output, if you supply it with a password that's completely unpredictable (i.e., each bit of input represents one bit of entropy) then anything beyond 256 bits of input is more or less wasted
  3. Below is a password meter that tests entropy using zxcvbn by Dropbox. It tests for dictionary words, leet-speak, recognizable patterns, and other heuristics to give an educated guess at what the entropy could be. If you are pasting passwords from the generator, you will notice disagreements. This tester is a blind entropy guess. It doesn't know the set of elements your password is from, nor.
  4. $\begingroup$ Personally I use a password with 130 bits of entropy. And I have noticed how even people who people who usually wouldn't be considered very intellectual are still able to memorize facts which have way more than 130 bits of entropy. So the apparent inability to memorize strong passwords from what I have seen seem to be more tied to willingness to spend time memorizing and how it.
It’s official: Password strength meters aren’t security

The binary logarithm of 94 is about 6.6 meaning that the entropy of a password like pu>zL3 is 39.6 bits. What makes entropy a good way of estimating a password's strength You can see that entropy is an illustrative (if slightly geeky) way of demonstrating how the addition of a wider variety of characters impacts the strength of a password Since each bit of entropy doubles the possible permutations of passwords that must be brute-forced, adding 4.7 bits of entropy to, for example, a random 12-character-long lowercase password will increase the possible permutations from 72 quadrillion to 1873 quadrillion., whereas a space would merely double the complexity from 72 to 144 quadrillion An upper bound on the entropy of a given password can be obtained by finding a simple template compatible with the password (i.e., such that the password could have been generated from that template) and then counting how many bits of randomness the template uses to produce the password. For example, given the password zoMbie8, one candidate template is pick seven characters that are. Entropy is calculated by using the formula log 2 (x), where x is the pool of characters used in the password. So a password using lowercase characters would be represented as log2 (26) ≈ 4.7 bits of entropy per character

The entropy of a sequence of independent random choices is the sum of their individual entropies. Therefore, a randomly generated eight letter password has entropy of about 8 × 4.7 = 37.6 bits, and one randomly generated according to your latter schema has approximately 5 × 4.7 + 5 × 3.3 = 5 × 8 = 40 bits of entropy Well what SP800-63 does is to assume that a password with 30 bits of entropy represents the same difficulty to guess as a random 30-bit number. What this assumption means is that . and M can be evaluated as. So when the entropy is 30 bits and k = 14, then if the number of online guesses mounted by an attacker is less than M = 2^{16} = 2^{30 - 14}, the likelihood that the password will be.

How many bits of entropy should I aim at for my password

Depending on which special characters you allow and a few other factors, the random 10-character password would have something like 65 bits of entropy, a measure of its strength. For the passphrase, even if the hacker knows there are exactly six English words of 5-11 letters each, and given the average American has a vocabulary of about 19,000 such words, the passphrase would have about 85. Password entropy is a measure of the strength of a password based on information theory. It is a function of the permissible character set and password length that is expressed in bits. As bits can be either 0 or 1, a 50 bit password would require a maximum of 2 50 tries to guess with certainty Pessimistically, your password using this method could have as few as log2(6^5 choose N) bits of entropy, or 107 bits for 10 words. To guarantee more than 128 bits of entropy, now your password needs to contain 13 words. And you're still stuck using all the words you rolled, which limits how memorable your password will be How do we work out the entropy of a password invented that way? First, think about the base word the password is built around. They estimate it as 16 bits for an up to 9 letter word of lower-case letters, so are assuming there are 2^16 (i.e. 65,000) possible such base words. There are about 40,000 nine letter words in English, so that's an over estimate if you are assuming you know the length.

It doesn't matter how many bits of entropy a password contains if it's on a dictionary of common passwords, as these are usually tried first. The password wUm09n#i4 will not be on any of these lists and as such, will be guessed later in the order, making it inherently stronger. Crafting a password . Creating a memorable and secure password for every account is impractical and can be skipped. The password space is a measurement of the total number of possible passwords that can be created using a certain value for L and R. As you can imagine this is a very large number. For example, with L = 10 and R = 62, the password space is 839,299,365,868,340,224. Since such numbers are a bit unwieldy, entropy is defined as the binary logarithm. And our entropy is calculated with log2 of 2 to the power of 10, which will be 10 Bits. The entropy of a password stands in relation to the work factor to correct that password. So, in short, it means that the time to crack a password is more or less relative to the entropy of a password. So, we will aim for our passwords to have a higher entropy so it will take longer to crack them. 299.9. However, to have at least 80 bits of entropy, you should use not less than 13 characters for your passwords. It is easy to see that the complexity of the passphrases increases much faster than those from passwords. In fact, a 4-word passphrase chosen out of 200,000 words has an entropy of 70 bits Alright, well if entropy isn't entropy, let's see what entropies are. We'll look at the standard mathematical formulation of the random-process-entropy which comes from information theory. And we'll look at the function used to calculate particular-string-entropy in one of the most popular password strength testers. And that's all we.

security - What length password equals 256bits of entropy

Password Strength Calculator - Bee-Ma

If the password is L characters long, then password has log 2 (C L) bits of entropy. Generating passphrases. As above, but use a list of words instead of a list of characters. Note that there is a risk when acquiring your wordlist of an attacker giving you a wordlist that has duplicated or highly similar words. For example, the wordlist might look like it contains 1 million words, but actually. If your password is 80-bits worth of entropy, and you hash it with SHA1, it's still only worth 80-bits of entropy. If you're talking about breaking the salted hash in /etc/shadow directly, then you're breaking a message with 160-bits of entropy. BUT, you're attacking the hash, not the password. This is why password cracking utilities, such as John the Ripper, use dictionaries to get to. Entropy bits is something that defines how much variety does your password have. '01111010010011' is long enough, but has only 2 entropy bits: that's how many bits you need to store its alphabet. However, a password that uses plenty of characters has more entropy Password Entropy: the level of chaos or randomness present in a system -- in this case, a string of characters that make up a password. Bits of Entropy: the mathematical measurement, in bits, of how difficult it is to crack a password. So there are a couple of really interesting things you might have noticed: Mathematically, the LENGTH of the password is exponentially more important than the.

Password entropy and understanding password strength. In the world of computing and passwords, there is something commonly referred to as password entropy.. define entropy: lack of order or predictability; gradual decline into disorder. In layman's terms this basically means the higher your password entropy the less predictable your password patterns are for a computer, so the stronger and. Password entropy is based on the character set used (which is expansible by using lowercase, uppercase, numbers as well as symbols) as well as password length. Password entropy is usually expressed in terms of bits: A password that is already known has zero bits of entropy; one that would be guessed on the first attempt half the time would have 1 bit of entropy entropy stats. There are words in your password, resulting in ~ bits of entropy (~12.92 bits/word, ~10 bits/letter, and ~5.16 bits/symbol).That many words equates to a total keyspace of ~ possible phrases (7776^WordsInPhrase).An adversary might get lucky and guess your phrase on the first try, though the chances of that happening are very slim There is no maximum length. The whole password will be passed to our KDF.That said, there is no security benefit of entering a password with more entropy than the 256 bit key that is used after key derivation, i.e. a hundred random ascii characters 58.9 bits of entropy = 18,267,344 years for the average Joe password crack to break. Or on a supercomputer about 105 days, in theory. Or on a supercomputer about 105 days, in theory

Phrases like this typically have an entropy value of 44 bits, and make for strong passwords, while also being relatively easy to memorize. A brute force attack of 1,000 guesses per second would take 550 years to guess a password with this level of entropy. Additional Layers Of Protection. For protecting sensitive data, accounts that involve money and assets, or indeed your password management. One study found that an average user chooses a password with ~40 bits of entropy. While it's not a big number, but it's definitively better than the numbers we see above. If an attacker tries. For example, suppose passwords with at least 24-bits of entropy were required. We can calculate the entropy estimate of IamtheCapitanofthePina4 by observing that the string has 23 characters and would satisfy a composition rule requiring upper case and non-alphabetic characters. This may or may not be what you are looking for but is not a bad reference point, if nothing else. [Edit.

A password using lowercase characters can be represented as log2(26) ≈ 4.7 bits of entropy per character. For a password iliveinedinburgh would have an entropy value of about 4.7 × 16 ≈. Buildium password-strength. This library takes a password and assigns a numerical value to indicate the password strength, calculated as an entropy score. The calculation for entropy is based on the description in Appendix A of NIST 800-63. The score is calculated with the following rules: The first character is worth 4 bits of entropy How many bits of entropy in Base64, Hex, etc. How many bits of entropy per character in various encoding schemes. By Encoding Scheme. The number of symbols (characters) in each encoding scheme, the multiplier (to get how many characters are needed to store so many bytes), and maximum number of bits per character Without password stretching - if the adversary has to do one unit of work to test for a candidate password - and with stretched password she has to do 1024 units of work to test for a candidate password, we actually effectively increased the entropy in a password by 10 bits, which roughly corresponds to one additional word in the password. It is clear that this is significant. The user whose. How to measure the password strength with entropy. Password strength is all about entropy, which is a numerical representation of how much randomness it contains. As we are working with large numbers, so instead of saying there are 1,099,511,627,776 (2^40) different variations, it's easier to say that it has 40 bits of entropy. And as password cracking is all about the number of variations.

Let us consider the absolute worst case, assuming the attacker knows your password is generated by this site, knowing that it has 65 bits of entropy, your password was insecurely hashed, and your enemy has GPUs to run 500 billion attempts every second. Even then, this scheme will resist the cracking attempt for over a year The default entropy provided is 54-bits. The pwmake(1)1 manpage describes that 54-bits of entropy is usable for passwords on systems/services to protect against online brute-force attacks, 64-bits for adequate security where the attacker does not have direct access to the password hash, and 80-128-bits where demanding security is needed

936: Password Strength - explain xkc

Password Entropy

Entropy is most coarsely thought of as randomness, and is usually measured in bits. For example, a simple flip of a coin has one bit of entropy, a single roll of a six sided die has about 2.58 bits of entropy, and coming up with a phrase like What is entropy? probably has somewhere around 20 bits of entropy Password managers can control access to a wide array of accounts and users need only remember the master password. Password management software is capable of generating passwords with up to 500 bits of entropy, which is very difficult for a computer generated hack to overcome For non-random passwords the calculation of entropy can be modified by applying a set of rules to account for typical language patterns (Shannon Entropy). A Non-Random password will make the Maximum Time to crack much much faster than any of the figures above. NIST recommend 80 bits for the most secure passwords to resist a brute force attack. For example, a 10-byte password has only 10*8=80 bits of entropy, so even if it's 100% binary garbage you're still well below AES-128's potential. If you restrict yourself to printable ASCII, you're down to only 10*6=60 bits of entropy, which is approaching feasible to brute force. Letter frequency and coincidence analysis (more 'a' than 'z'; more 'qu' than 'qk') can cut this to only a few. Entropy is measured in bits, and when selecting uniformly at random from a set of possible outcomes, the entropy is equal to log_2(# of possibilities). A fair coin flip gives 1 bit of entropy. A dice roll (of a 6-sided die) has ~2.58 bits of entropy

In xkcd comic #936, Randall Munroe claims that passwords like Tr0ub4dor&3 (uncommon base word, caps, common letter substitutions with a number and punctuation suffix) has ~28 bits of entropy, while taking four random common words, like correct horse battery staple, has ~44 bits of entropy, and is therefore much much stronger.. I am confused because I've always been told that having numbers. In each case 1 bit is required, so entropy is: entropy = prob of A * 1 + prob of B * 1 = 1 If outcome of a variable is A: 1.0 and B: 0.0, then [] <- We know it is A not matter what We don't store any bits at all, and entropy is 0. I am more or less OK with the above examples, but what about. If outcome of a variable is A: 0.9 and B: 0.1 About 33 Bits. This is a blog about my research on privacy and anonymity. The title refers to the fact that there are only 6.6 billion people in the world, so you only need 33 bits (more precisely, 32.6 bits) of information about a person to determine who they are

Strength is best measured as entropy, in bits: it's the number of times a space of possible passwords can be cut in half. A naive strength estimation goes like this: # n: password length # c: password cardinality: the size of the symbol space # (26 for lowercase letters only, 62 for a mix of lower+upper+numbers) entropy = n * lg (c) # base 2 log A good long-term password should probably have in excess of 128 bits of entropy. Quick quiz: If you generate a 256-bit random number from a good cryptographic PRNG, it will have 256 bits of. Password managers are a given. Password entropy just determines how easily a given password in your manager is cracked. By all means use 100-bit entropy passwords in your manager. But that's overkill even for the big alphabet agencies. I prefer to use a 6-phrase diceware master password for my pw manager. Then 72-bit random pw's for each. A strong password might have 50-60 bits, while a physically unbreakable password might have 80-90 bits. The password generator prints out both the entropy per word and the total entropy. For more entropy, simply use more words. Remembering passwords. A list of words is a good password for two reasons. First, each word has a lot of entropy.

Securing Connections Across Untrusted Networks. To connect containers across untrusted networks, Weave Net peers can be instructed to encrypt traffic by supplying a --password option or by using the WEAVE_PASSWORD environment variable during weave launch. For example: host1$ weave launch --password wfvAwt7sj. or I've been led to believe that 80-90 bits of entropy is pretty darn good for most purposes, in fact a good 6-word Diceware password only gives about 78 bits of entropy, and the Diceware author claims that should be sufficient for master passwords. But KeePass would rate this password as Weak! Even 7 or 8 words will only rate as Moderate by KeePass's standards. So, there appears to be a. Münzwurfs liefert, hat 1 bit Entropie. 78 3: Passwörter und Entropie 3.2: Entropie. Stefan Lucks Kryptographie und Mediensicherheit (2017) Was hat die Länge der (komprimierten) Darstellung mit der Sicherheit eines Passwortes zu tun? Wenn man zum Speichern eines unbekannten Wertes mindestens b bit brauche, und ich versuche, diesen Wert zu erraten, dann kann ich statistisch bestenfalls erwar 33 Bits of Entropy merupakan sebuah blog penelitian data anomisasi, yang mengupas berbagai hal tentang privasi hukum dan kebijakan

Not quite. Don't confuse password strength with entropy. A human chosen password of 10 characters such as the word Washington has roughly the same entropy as this 10 character random generated password of Ha30*wKdjL. About 3 bits. Both have similar entropy but one is much stronger than the other. A password can be high entropy but still weak I find myself analyzing password and token entropy quite frequently and I've come to rely upon Wolfram Alpha and Burp Suite Pro to get my estimates for these values. It's understandable why we'd want to check a password's entropy. It gives us an indication of how long it would take an attacker to brute force it, whether in a form or a stolen database of hashes. However, an. A 6 word password from this list will have roughly 91 (15.22 * 6) bits of entropy, assuming truly random word selection. estop mixing edelweiss conduct rejoin flexitime Note that the above password has 91 bits of entropy, which is about what a fifteen-character password would have, if chosen at random from uppercase, lowercase, digits, and ten symbols: log2((26 + 26 + 10 + 10)^15) = approx. 92. password, you can calculate the number of bits of password entropy. The more bits of entropy that your password has, the more difficult it is for a computer to guess, predict, or successfully attack it by brute force. Each bit of entropy mathematically doubles the difficulty of guessing the password correctly. For example, 28 bits of entropy represents 2 2 8 or 268,435,456 possible passwords. Estimating Password Entropy ♦ Entropy of a password is the uncertainty an attacker has in his knowledge of the password, that is how hard it is to guess it. ♦ Easy to compute entropy of random passwords ♦ We typically state entropy in bits. A random 32-bit number has 232 values and 32-bits of entropy ♦ A password of length l selected at.

Password Entropy. Another common method of determining the complexity of a password (from the Wikipedia article on password strength) is to calculate the number of bits of information entropy each password generates. Per the Wikipedia article, The strength of a random password as measured by the information entropy is just the base-2 logarithm or log 2 of the number of possible passwords. Basically, password strength boils down to the number of bits of entropy that a password has. So the next question is: How does one calculate the number of bits of entropy of a password? NIST has proposed the following rules: The first byte counts as 4 bits. The next 7 bytes count as 2 bits each. The next 12 bytes count as 1.5 bits each. Anything beyond that counts as 1 bit each. Mixed case. RAND() LIMITS ENTROPY TO 32 BITS When using the pseudo-random number generator supplied by most language libraries, the entropy of the resulting password is limited to 32 bits! Let's take XKCD's algorithm: ~2000 word dictionary, randomly select 4 words, produces 2000**4 different possible passwords, which is 16 trillion. Log base 2 gives 43.9 bits of entropy. But using a pseudo-random number. Transcribed image text: log, (a) O1 o On n ah a The information entropy, H, in bits, of a randomly generated password consisting of L characters is given by: H = L log2(N), where N is the number of possible symbols for each character in the password. In general, the higher the entropy, the stronger the password. Suppose that you had a password that was 8 characters long and each character had.

Password Quality Estimation - KeePas

password_hash() erstellt einen neuen Passwort-Hash und benutzt dabei einen starken Einweg-Hashing-Algorithmus. password_hash() ist If your pepper contains 128 bits of entropy, and so long as hmac-sha256 remains secure (even MD5 is technically secure for use in hmac: only its collision resistance is broken, but of course nobody would use MD5 because more and more flaws are found), this. The 85 passwords exceeding the minimum for the last rule are actually an outlier in the data and can be counted as just one password. So out of the 10.4 million passwords that were analyzed, only 712 (796 - 84 = 712) were actually good enough to be used for RockYou at the 25 bits of entropy level. That is, the minimum at where they should have.

Strength Test - Rumkin

It has 128 bits of entropy, making it infeasible to guess no matter how much money or computing power an attacker has available. These differences in entropy and memorability allow your Master Password and Secret Key to protect you from different kinds of threats: Your Master Password protects your data on your devices. Someone who has access to your devices or backups won't be able to. Password entropy is usually expressed in terms of bits: A password that is already known has zero bits of entropy; one that would be guessed on the first attempt half the time would have 1 bit of entropy. A password's entropy can be calculated by finding the entropy per character, which is a log base 2 of the number of characters in the character set used, multiplied by the number of. From Table 1 the elliptic curve subject matters experts assert the strength of a 256-bit secp256k1 private key has the strength of 128 bits of encryption when the associated public key is exposed. To brute force attack a public key to obtain a public key with 128 bits of entropy will cost at least $100M in electricity at 5 cents per KW-Hr using almost perfectly efficient quantum computers. It. Entropy bits refer to the unpredictability of your password. It is a measure used in information theory, and is based on the length of the password and character set used. The more bits of entropy your password or passphrase has, the harder it is for an attacker to guess

xkcd: Password Strengt

So, if you really want 56 bits of entropy and some choice, set the entropy to 59 bits and take your favorite. The passwords you see here are generated on your own machine. They are secure, unless the bit generator in your browser is weak, your machine is compromised, there's a bug in my code, o It may not contain a dictionary word., the result is roughly 33 bits of entropy. If, however, the password is a perfectly random combination of uppercase and lowercase letters, numbers and the 30 symbols on a US keyboard, we would expect 52 bits of entropy. Interestingly, the same result can be obtained by choosing 4 random words from the Diceware list.Second, we need to know how fast GPUs.

Additional bits of entropy can be added to user-selected passwords by adding rules to prohibit the use of easily identified passwords. NIST suggests giving people dictionaries of common words they shouldn't use. So-called composition rules would require users to use a combination of upper- and lowercase letters, as well as numbers and symbols. The other key factor in meeting E-Authentication. i think that a password like that is a bit overkill, since we have the steam app, but everyone is free with his choices, and sadly no one here can answer you,if you want a definitive answer your only option is the suport of steam. Last edited by Sucy; Jul 9, 2017 @ 1:40pm #12. Start_Running. Jul 9, 2017 @ 2:05pm Originally posted by Barahir: Originally posted by Cathulhu: Not necessary: https. With more entropy security is improved but the sentence length increases. It is allowed to be 128-256 bits to generate 12-24 phrases. We will take example of 128 bits which will generated 12. The minimum number of bits of entropy needed for a password depends on the threat model for the given application. If key stretching is not used, passwords with more entropy are needed. RFC 4086, Randomness Requirements for Security, presents some example threat models and how to calculate the entropy desired for each one. Their answers vary between 29 bits of entropy needed if only online. Read More Measuring Password Strength (Bits of Entropy) General, Tech bit of entropy, Password strength. Suleiman Alrosan. View Full Profile → Categories. General (2) Tech (3) Top Posts & Pages. Measuring Password Strength (Bits of Entropy) Advertisements. 2021 Suleiman Alrosan Create a website or blog at WordPress.com . Posts about bit of entropy written by Suleiman Alrosan. Skip to content.

Measuring Password Strength (Bits of Entropy) - Suleiman

Whereas a password with 32 1's would take 15,854,896 years with the same computer with 106 bits of entropy. So, it's not just about the password make up. There are a numerous values that can impact a password; however, it's not about doing the minimum, it's about doing what is necessary to protect your assets from unauthorized attack Calculate the entropy of a string (i.e. a password) with PowerShell. As with my other PowerShell stuff, this was made for fun and might make it's way into something later. The details of what the script is for, and the many assumptions it makes are in the code. Short story, this function will give you the bits of entropy in a provided string Entropy is measured in bits, and when selecting uniformly at random from a set of possible outcomes, the entropy is equal to log_2(# of possibilities). A fair coin flip gives 1 bit of entropy. A dice roll (of a 6-sided die) has ~2.58 bits of entropy

Password Strength/Entropy: Characters vs

If you go up to 30000 rounds you get fifteen bits of entropy, but then calculating the password takes close to a second; 20 bits takes 20 seconds, and beyond about 23 it becomes too long to be practical. Now, there is one clever way we can go even further: outsourceable ultra-expensive KDFs bits. This is not the entropy being coded here, but it is the closest to physical entropy and a measure of the information content of a string. But it does not look for any patterns that might be available for compression, so it is a very restricted, basic, and certain measure of information To generate password with the highest entropy possible with standard Linux tools that are built into every distribution I use: < /dev/urandom tr -cd [:print:] | head -c 32; echo This outputs all of the ASCII printable characters - from 32 (space) to 126 (tilde, ~). The password length can be controlled with the head's -c flag. There are also other possible character sets in tr (to not. A 6 word password from this list will have roughly 91 (15.22 * 6) bits of entropy, assuming truly random word selection. becloud pregame hogback catlike lobber rowel. Using one custom setting including a custom word list with common words to create 5-word passphrase, 45 bits of entropy

Encryption 101: How to break encryption - Lifetimecryptography - Is a very long alphabetic password harderTroy Hunt: Bad passwords are not fun and good entropy is

Entropie (nach dem Kunstwort ἐντροπία) ist in der Informationstheorie ein Maß für den mittleren Informationsgehalt einer Nachricht. Der Begriff ist eng verwandt mit der Entropie in der Thermodynamik und statistischen Mechanik.. Das informationstheoretische Verständnis des Begriffes Entropie geht auf Claude E. Shannon zurück und existiert seit etwa 1948 Entropy is a measure of randomness. In this case, 64 bits of entropy would be 2^64, which creates a probability of one in over 18 quintillion - a number so big it feels totally abstract - that you could guess the key. It would take thousands of years for today's computers to potentially calculate that value Shannon entropy tells you what is the minimal number of bits per symbol needed to encode the information in binary form (if log base is 2). Given above calculated Shannon entropy rounded up, each symbol has to be encoded by 4 bits and your need to use 44 bits to encode your string optimally. Additionally, other formulas can be calculated, one of the simplest is metric entropy which is Shannon.

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