Cryptographic Key Generation Using Handwritten Signature
Posted : admin On 17.04.2020In 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.[1]
Professional€99Repair PST with 100% Precision and Recover all Mailbox Items.Lifetime LicenseTechnician€249 €299Repair, Split & Compact PST File. Stellar phoenix outlook pst repair key generator download. This software is proved to be secure and free.' 'Amazing PST file repair software to recover inaccessible or deleted emails from corrupt Outlook PST File.
- Cryptographic Key Generation Using Handwritten Signature Template
- Cryptographic Key Management
- Cryptographic Key Types
- Cryptographic Key Generation Using Handwritten Signature Form
Handwritten signature to cryptography. Our signature-based key generation scheme implements the crypto-graphic construction named fuzzy vault. The use of distin ctive signature features suited for the fuzzy vault is discussed and evaluated. Experimental results are reported, including error rates to unlock the secret data by using both random and skilled forgeries from the MCYT database. Mar 11, 2020 Symmetric vs. Asymmetric cryptography. Key generation. Legal standing as a handwritten signature as long as it adheres to the requirements of the specific regulation it. Apr 17, 2006 Cryptographic key generation using handwritten signature Our signature-based key generation scheme implements the cryptographic construction named fuzzy vault. The use of distinctive signature features suited for the fuzzy vault is discussed and evaluated.
Need for secrecy[edit]
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.[2]
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.
Key scope[edit]
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[edit]
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.[3]
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.
Key sizes[edit]
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.[4] 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.
Key choice[edit]
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[edit]
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.
See also[edit]
- 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
References[edit]
- ^'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.
Cryptographic Key Generation Using Handwritten Signature Template
Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics
Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Recommend Title Publication to libraryThank you
Your recommendation has been sent to your librarian.
This work presents a method based on information-theoretic analysis of iris biometric that aims to extract homogeneous regions of high entropy. Successful extraction of these regions facilitates the development of effective systems for generation of cryptographic keys of lengths up to 400 bits per iris. At the same time, this approach allows for the application of simpler error correction codes with equal false accept rate levels, which reduces the overall complexity of this class of systems.
References
- 1)
- 1. Soutar, C., Roberge, D., Stoianov, A., et al: ‘Biometric encryption’, in Nichols, R.K. (ed.): ‘ICSA guide to cryptography’ (McGraw-Hill Publishers, New York, 1999).
- 2)
- 2. Davida, G.I., Frankel, Y., Matt., B.J., et al: ‘On the relation of error correction and cryptography to an offline biometric based identification scheme’. In Proceedings of WCC99, Workshop on Coding and Cryptography, 1999.
- 3)
- 3. Hao, F., Anderson, R., Daugman, J.: ‘Combining crypto with biometrics effectively’, IEEE Trans. Comput., 2006, 55, (9), pp. 1081–1088.
- 4)
- 4. Kanade, S., Camara, D., Krichen, E., Petrovska-Delacretaz, D., Dorizzi, B., et al: ‘Three factor scheme for biometric-based cryptographic key regeneration using iris,’ in The 6th Biometrics Symposium 2008 (BSYM2008), September 2008.
- 5)
- 5. Garcia-Baleon, H.A., Alarcon-Aquino, V., Starostenko, O., et al: ‘Bimodal biometric system for cryptographic key generation using wavelet’. IEEE Mexican Int. Conf. on Computer Science, 2009, pp. 186–196.
- 6)
- 6. Hao, F., Chan, C.W.: ‘Private key generation from on-line handwritten signatures’, Inf. Manag. Comput. Sec., 2002, 10, (2), pp. 159–164.
- 7)
- 7. Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M., et al: ‘Practical biometric authentication with template protection’. Proc. of the 5th Int. Conf. on Audio- and Video-Based Biometric Person Authentication, AVBPA'05, 2005, pp. 436–446.
- 8)
- 8. van der Veen, M., Kevenaar, T., Schrijen, G.-J., et al: ‘Face biometrics with renewable templates’. Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60720J, February 2006.
- 9)
- 9. Monrose, F., Reiter, M.K., Li, Q., et al: ‘Cryptographic key generation from voice’. Proc. of the 2001 IEEE Symp. on Security and Privacy, May 2001.
- 10)
- 10. Clancy, T.C., Kiyavash, N., Lin, D.J.: ‘Secure smart card-based fingerprint authentication’. Proc. ACM SIGMM Workshop Biometrics Methods and Application (WBMA), 2003.
- 11)
- 11. Rathgeb, C., Uhl, A.: ‘Two-factor authentication or how to potentially counterfeit experimental results in biometric systems’. Proc. of the Int. Conf. on Image Analysis and Recognition, 2010, pp. 296–305.
- 12)
- 12. Daugman, J.: ‘The importance of being random’, Stat. Princ. Iris Recognit., Pattern Recognit., 2003, 36, (2), pp. 279–291.
- 13)
- 13. Bringer, J., Chabanne, H., Cohen, G., Kindarji, B., Zemor, G., et al: ‘Theoretical and practical boundaries of binary secure sketches’, IEEE Trans. Inf. Forensics Sec., 20083, (4), pp. 673–683.
- 14)
- 14. Kelkboom, E.J.C., Breebaart, J., Kevenaar, T.A.M., et al: ‘Preventing the decodability attack based cross-matching in a fuzzy commitment scheme’, IEEE Trans. Inf. Forensics Sec., 2011, pp. 107–121.
- 15)
- 15. Rathgeb, C., Uhl, A.: ‘Statistical attack against fuzzy commitment scheme’, IET Biometrics, 2012, pp. 94–104.
- 16)
- 16. Maiorana, E., Campisi, P., Neri, A.: ‘IRIS template protection using a digital modulation paradigm’. 2014 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Florence, 2014, pp. 3759–3763.
- 17)
- 17. Álvarez Mariño, R., Hernández Álvarez, F., Hernández Encinas, L.: ‘A crypto-biometric scheme based on iris-templates with fuzzy extractors’, Inf. Sci., 2012, 195, pp. 91–102.
- 18)
- 18. Shannon, C.E.: ‘A mathematical theory of communication’, Bell Syst. Techn. J., 1948, 27, pp. 379–423, 623–656.
- 19)
- 19. Shannon, C.E.: ‘Communication theory of secrecy systems’, Bell Syst. Tech. J., 1949, 28, pp. 656–715.
- 20)
- 20. Daugman, J.: ‘How iris recognition works’, IEEE Trans. Circuits Syst. Video Technol., 2004, 14, pp. 21–30.
- 21)
- 21. Gonzalez, R.C., Woods, R.E., Eddins, S.L.: ‘Digital image processing using MATLAB’ (Prentice-Hall, New Jersey, 2003).
- 22)
- 22. Adamovic, S., Milosavljevic, M.: ‘Information analysis of iris biometrics for the needs of cryptology key extraction’, Serb. J. Electr. Eng., 2013, 10, (1), pp. 1–12.
- 23)
- 23. Adamovic, S., Savic, A.G., Milosavljevic, M., et al: ‘Texture analysis of iris biometrics based on adaptive size neighborhood entropy and linear discriminant analysis’. Int. Scientific Conf. – Sinteza, Serbia, April 2014, pp. 658–660.
- 24)
- 24. Masek, L.: ‘Recognition of human iris patterns for biometric identification iris recognition’, http://www.csse.uwa.edu.au/~pk/studentprojects/libor/, accessed 15 October 2012.
- 25)
- 25. Daugman, J.: ‘Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters’, J. Opt. Soc. Am. A, 1985, 2, (7), pp. 1160–1169.
- 26)
- 26. Juels, A., Wattenberg, M.: ‘A fuzzy commitment scheme’. Proc. of the 6th ACM Conf. on Computer and Communications Security, 1999.
- 27)
- 27. Biometrics Ideal Test, http://biometrics.idealtest.org, accessed 15 October 2013.
- 28)
- 28. Goh, A., Ngo, D.C.L.: ‘Computation of cryptographic keys from face biometrics. communications and multimedia security’. ‘Advanced techniques for network and data protection’ (Springer Berlin Heidelberg, 2003), pp. 1–13.
- 29)
- 29. Zhou, X., Kuijper, A., Veldhuis, R., et al: ‘Quantifying privacy and security of biometric fuzzy commitment’. Biometrics (IJCB), 2011 Int. Joint Conf. on, Washington, DC, 2011, pp. 1–8.
- 1)