Blockchains use Elliptical Curve Cryptography (ECC) to authenticate users and authorise transactions. These notes introduce the field of cryptography and explains how modern cryptographic methods work. I wrote them to teach myself about encryption^{1}
To begin with the absolute basics, encryption generally works by taking a message and representing it as a series of numbers^{2} which are then turned into a series of random looking numbers. Decryption works by turning the random looking numbers back into the original message.
The history of Cryptography can be split into classical and modern eras. Modern cryptography began in 1977 with the introduction of the RSA and Diffie-Hellman algorithms. Until then, Cryptography required using a single key (the secret code) to encrypt and decrypt the message. This was transferred from sender to receiver secretly, but not cryptographically. In classical cryptography, the code is a shared secret.
The modern era removed the requirement for a shared secret and instead used number theory as a basis for quantifying the strength of an encryption method. The strength of a modern cryptographic technique is quantifiable and provable by reference to number theory, rather than a users ability to transport or transfer a secret code.
Modern cryptography is defined by Public Key Cryptographic systems. They use one key (code) for encryption and another for decryption. The encryption key can be made public without any risk of the message being decrypted, and is therefore known as the public key. The key used to decrypt data is the private key, and must not be revealed. If a message is encrypted with the public key it can only be decrypted with the private key.
Public Key Cryptographic (PKC) systems use algorithms that are easy to process in one direction but difficult to reverse, which are known as mathematical trap-door functions. A simple example of a trap-door function is the product of two prime numbers. If two random prime numbers are chosen, it is trivial to find their product. However if only the product of the two numbers is known, it is relatively difficult to find either of the factors used to create the number (this is factorisation). This was first noticed in 1874, when Jevons remarked:
“Can the reader say what two numbers multiplied together will produce the number 8,616,460,799? I think it unlikely that anyone but myself will ever know.”*
This simple problem shows that finding the product of two (secret) prime numbers is computationally simple, but factorising the result is not. This type of problem is a key feature of modern cryptography. Factoring prime numbers is a super famous mathematical problem, it was studied by Eratosthenes ^{3} in the 3rd century BC and more recently the RSA Factoring Challenge has intended to track state-of-the-art factorisation techniques by issues cash prizes for the factorisation of products of large primes.
Generally, the bigger the difference in difficulty between executing the function and reversing it, the better the cryptographic technique.
The RSA algorithm below uses factorisation as the foundation of its security, but factorisation is not the hardest problem to solve relative to the size of the keys required. Algorithms have been developed to factor the products of large prime numbers, and are much more efficient than randomly guessing possible factors. The greater the size of the primes being factored, the more efficient these algorithms become, and therefore the difference in difficulty between executing the function (multiplying two large primes) and reversing it (factorisation) becomes smaller as the size of the cryptographic key length increases. This is a problem because as public key cryptography becomes more commonly used the resources available to factor products of primes increases, and consequently larger keys are required.
Ultimately, encryption techniques based on the difficulty of factorisation will become redundant as the difficulty gap between creating and solving them shrinks. A better trap door function is required.
Named after its founders (Ron Rivest, Adi Shamir, and Leonard Adleman), RSA was one of the first public-key encryption algorithms and is still widely used.
RSA (as well as other cryptographic techniques) makes use of a number line which loops back to zero after reaching a maximum value, rather than increasing indefinitely. This means that once a maximum number \(n\) has been defined, if a number greater than \(n\) is created the result simply loops around to 0 and begins counting from 0 again. i.e. if \(n = 10\), then \(7 + 5 = 12 - 10 = 2\). The result of a calculation on a looping number line may easily be found by doing long division and using the remainder as the final answer, i.e. \(12 / 10 = 1\) with \(2\) remaining.
RSA does not directly operate on strings as bits, it operates on numbers modulo (less than) \(n\). and it is necessary to represent plain text as a series of numbers less than \(n\). The dominant encoding on the internet is UTF-8, which represents each upper case Latin letter as a number between 65 and 90. Using this encoding, a message “HELLO” would become “\(72, 69, 76, 76, 79\)“.
The maximum number \(n\) needs to be the product of the two prime numbers \(p\) and \(q\). For this example choose \(p = 7\) and \(q = 13\), so \(n = 91\) ^{4}
The public key component e can be any number we choose, as long as there is no number other than 1 which is a common factor of e and \(( p - 1 ) ( q - 1 )\). In our example, this requires that there be no common factor between 72 and e other than 1, so let e \(= 5\).
Therefore our public key is (91, 5). This can be made available to anyone without messages being decrypted because of the difficulty of factoring the product of (very large) prime numbers.
Using the fact that we know 5 and 11 are the prime factors of 55 and e is 5, we can use the Extended Euclidean Algorithm to compute our private key \(d\), which is 29.
Therefore when the prime factors 7 and 13 are used, the public key is (91, 5) and the private key is (91, 29). These parameters fully define a functional RSA system.
To encode a letter H in a message (‘H’ is \(72\) in UTF-8), we need to multiply it by itself \(e\) times (\(e = 5\)), remembering to wrap around each time we pass our maximum value of \(n = 91\).
\(72 \times 72 = 5184, 5184 / 91 = 56\) with \(88\) remaining, (i.e. \(5184 = 91 \times 56 + 88\)). Therefore: \(72 \times 72 = 5184 = 88\) \(88 \times 72 = 6336 = 57\) \(57 \times 72 = 4104 = 9\) \(9 \times 72 = 648 = 11\)
Therefore the encrypted value of “H” is “\(11\)“
Using the method for each character in the message “HELLO” results in the encoded message “\\(11,62,20,20,53\\)“.
To decrypt the message, we take each number and multiply it by itself \(d\) times, (\(d=29\)) wrapping around each time we pass \(91\).
\(11 \times 11 = 121 = 30\) \(30 \times 11 = 330 = 57\) … \(57 \times 11 = 627 = 81\) \(81 \times 11 = 891 = 72\)
And we’re back to our original encoding.
The spreadsheet I used to calculate the encrypted and decrypted values can be downloaded here.
A simple python script to encrypt and decrypt a message is here. It uses the AES encryption method.
A simple example is \(A=1, B=2\) etc ↩
Eratosthenes invented his famous sieving algorithm which finds all the primes up to a given limit. ↩
Whilst the Extended Euclidean Algorithm is apparently simple to compute, its description is not. Therefore I’ve used the same numbers in the following example as in the tutorials here and here. ↩
If this is the case then e and ( p - 1) ( q - 1 ) are called “coprime” ↩