- Secure Random Key Generation Algorithm Examples
- Secure Random Key Generation Algorithm In Cryptography
How would I generate a secure key in a C program (I know, that writing a crypto library on my own is not secure at all but I just want to learn basic principles from key generating to key exchanging to encryption mechanisms). How could I approach the problem of implementing an algorithm for a secure key generation? Sep 13, 2013 At CloudFlare we need lots of random numbers for cryptographic purposes: we need them to secure SSL connections, Railgun, generating public/private key pairs, and authentication systems. They are an important part of forward secrecy which we've rolled out for all our customers. Dec 14, 2011 The better the implementation of cryptographically strong pseudo random number generator, the more secure the random numbers generated would be. On Linux, the default implementation for SecureRandom is “NativePRNG,” while on Windows, the default is “SHA1PRNG” which you can also use on Linux if you explicitly specify it. The Quantum Key Factory is a platform which allows for a combination of multiple sources of randomness (entropy), as well as best practice key scheduling, key mixing, key storage and key auditing to guarantee secure key generation at the highest level of trust. True random number generation platforms based on Quantis QRNG. The Quantum Key Factory is a platform which allows for a combination of multiple sources of randomness (entropy), as well as best practice key scheduling, key mixing, key storage and key auditing to guarantee secure key generation at the highest level of trust. True random number generation platforms based on Quantis QRNG. A cryptosystem should be secure even if everything about the system, except the key, is public knowledge. This is a great asumption and it is used in the xkcd comic. Even if you know everything about how I generate passwords (including the list of words I use) there are still 2^44 possible passwords. For the key generation, I have written a util using jdk's UUID class, it's also secure random. And, for the secret generation, I have written a util using jdk's KeyGenerator class to generate a SecretKey instance with SHA512 or SHA256 algorithm, it's also secure random, right? – Eric Wang Feb 23 '18 at 17:39.This class provides the functionality of a secret (symmetric) key generator.
Key generators are constructed using one of the
getInstance class methods of this class.
KeyGenerator objects are reusable, i.e., after a key has been generated, the same KeyGenerator object can be re-used to generate further keys.
There are two ways to generate a key: in an algorithm-independent manner, and in an algorithm-specific manner. The only difference between the two is the initialization of the object:
- Algorithm-Independent Initialization
All key generators share the concepts of a keysize and a source of randomness. There is an
initmethod in this KeyGenerator class that takes these two universally shared types of arguments. There is also one that takes just a
keysizeargument, and uses the SecureRandom implementation of the highest-priority installed provider as the source of randomness (or a system-provided source of randomness if none of the installed providers supply a SecureRandom implementation), and one that takes just a source of randomness.
Since no other parameters are specified when you call the above algorithm-independent
initmethods, it is up to the provider what to do about the algorithm-specific parameters (if any) to be associated with each of the keys.
- Algorithm-Specific Initialization
For situations where a set of algorithm-specific parameters already exists, there are two
initmethods that have an
AlgorithmParameterSpecargument. One also has a
SecureRandomargument, while the other uses the SecureRandom implementation of the highest-priority installed provider as the source of randomness (or a system-provided source of randomness if none of the installed providers supply a SecureRandom implementation).
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In case the client does not explicitly initialize the KeyGenerator (via a call to an
init method), each provider must supply (and document) a default initialization.
Every implementation of the Java platform is required to support the following standard
KeyGenerator algorithms with the keysizes in parentheses:
- AES (128)
- DES (56)
- DESede (168)
In cryptography, a key is a piece of information (a parameter) that determines the functional output of a cryptographic algorithm. For encryption algorithms, a key specifies the transformation of plaintext into ciphertext, and vice versa for decryption algorithms. Keys also specify transformations in other cryptographic algorithms, such as digital signature schemes and message authentication codes.
Need for secrecy
Secure Random Key Generation Algorithm Examples
In designing security systems, it is wise to assume that the details of the cryptographic algorithm are already available to the attacker. This is known as Kerckhoffs' principle — 'only secrecy of the key provides security', or, reformulated as Shannon's maxim, 'the enemy knows the system'. The history of cryptography provides evidence that it can be difficult to keep the details of a widely used algorithm secret (see security through obscurity). A key is often easier to protect (it's typically a small piece of information) than an encryption algorithm, and easier to change if compromised. Thus, the security of an encryption system in most cases relies on some key being kept secret.
Trying to keep keys secret is one of the most difficult problems in practical cryptography; see key management. An attacker who obtains the key (by, for example, theft, extortion, dumpster diving, assault, torture, or social engineering) can recover the original message from the encrypted data, and issue signatures.
Keys are generated to be used with a given suite of algorithms, called a cryptosystem. Encryption algorithms which use the same key for both encryption and decryption are known as symmetric key algorithms. A newer class of 'public key' cryptographic algorithms was invented in the 1970s. These asymmetric key algorithms use a pair of keys—or keypair—a public key and a private one. Public keys are used for encryption or signature verification; private ones decrypt and sign. The design is such that finding out the private key is extremely difficult, even if the corresponding public key is known. As that design involves lengthy computations, a keypair is often used to exchange an on-the-fly symmetric key, which will only be used for the current session. RSA and DSA are two popular public-key cryptosystems; DSA keys can only be used for signing and verifying, not for encryption.
Ownership and revocation
Part of the security brought about by cryptography concerns confidence about who signed a given document, or who replies at the other side of a connection. Assuming that keys are not compromised, that question consists of determining the owner of the relevant public key. To be able to tell a key's owner, public keys are often enriched with attributes such as names, addresses, and similar identifiers. The packed collection of a public key and its attributes can be digitally signed by one or more supporters. In the PKI model, the resulting object is called a certificate and is signed by a certificate authority (CA). In the PGP model, it is still called a 'key', and is signed by various people who personally verified that the attributes match the subject.
In both PKI and PGP models, compromised keys can be revoked. Revocation has the side effect of disrupting the relationship between a key's attributes and the subject, which may still be valid. In order to have a possibility to recover from such disruption, signers often use different keys for everyday tasks: Signing with an intermediate certificate (for PKI) or a subkey (for PGP) facilitates keeping the principal private key in an offline safe.
Deleting a key on purpose to make the data inaccessible is called crypto-shredding.
For the one-time pad system the key must be at least as long as the message. In encryption systems that use a cipher algorithm, messages can be much longer than the key. The key must, however, be long enough so that an attacker cannot try all possible combinations.
A key length of 80 bits is generally considered the minimum for strong security with symmetric encryption algorithms. 128-bit keys are commonly used and considered very strong. See the key size article for a more complete discussion.
The keys used in public key cryptography have some mathematical structure. For example, public keys used in the RSA system are the product of two prime numbers. Thus public key systems require longer key lengths than symmetric systems for an equivalent level of security. 3072 bits is the suggested key length for systems based on factoring and integer discrete logarithms which aim to have security equivalent to a 128 bit symmetric cipher. Elliptic curve cryptography may allow smaller-size keys for equivalent security, but these algorithms have only been known for a relatively short time and current estimates of the difficulty of searching for their keys may not survive. As early as 2004, a message encrypted using a 109-bit key elliptic curve algorithm had been broken by brute force. The current rule of thumb is to use an ECC key twice as long as the symmetric key security level desired. Except for the random one-time pad, the security of these systems has not been proven mathematically as of 2018, so a theoretical breakthrough could make everything one has encrypted an open book (see P versus NP problem). This is another reason to err on the side of choosing longer keys.
To prevent a key from being guessed, keys need to be generated truly randomly and contain sufficient entropy. The problem of how to safely generate truly random keys is difficult, and has been addressed in many ways by various cryptographic systems. There is a RFC on generating randomness (RFC 4086, Randomness Requirements for Security). Some operating systems include tools for 'collecting' entropy from the timing of unpredictable operations such as disk drive head movements. For the production of small amounts of keying material, ordinary dice provide a good source of high quality randomness.
Key vs password
For most computer security purposes and for most users, 'key' is not synonymous with 'password' (or 'passphrase'), although a password can in fact be used as a key. The primary practical difference between keys and passwords is that the latter are intended to be generated, read, remembered, and reproduced by a human user (though the user may delegate those tasks to password management software). A key, by contrast, is intended for use by the software that is implementing the cryptographic algorithm, and so human readability etc. is not required. In fact, most users will, in most cases, be unaware of even the existence of the keys being used on their behalf by the security components of their everyday software applications.
If a passwordis used as an encryption key, then in a well-designed crypto system it would not be used as such on its own. This is because passwords tend to be human-readable and, hence, may not be particularly strong. To compensate, a good crypto system will use the password-acting-as-key not to perform the primary encryption task itself, but rather to act as an input to a key derivation function (KDF). That KDF uses the password as a starting point from which it will then generate the actual secure encryption key itself. Various methods such as adding a salt and key stretching may be used in the generation.
- Cryptographic key types classification according to their usage
- Diceware describes a method of generating fairly easy-to-remember, yet fairly secure, passphrases, using only dice and a pencil.
- glossary of concepts related to keys
Secure Random Key Generation Algorithm In Cryptography
- ^'What is cryptography? - Definition from WhatIs.com'. SearchSecurity. Retrieved 2019-07-20.
- ^'Quantum Key Generation from ID Quantique'. ID Quantique. Retrieved 2019-07-20.
- ^Matthew Copeland; Joergen Grahn; David A. Wheeler (1999). Mike Ashley (ed.). 'The GNU Privacy Handbook'. GnuPG. Archived from the original on 12 April 2015. Retrieved 14 December 2013.
- ^Bidgoli, Hossein (2004). The Internet Encyclopedia. John Wiley. p. 567. ISBN0-471-22201-1 – via Google Books.