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• Bod Key Products
• Key Generation In Sap Bods
• Sap Bods Functions

Date_Generation transform is used for creating time dimension tables. This transform generates a column which holds the date values based on the start & end dates provided as an input to the transform by considering the increment provided to it.Website auto traffic generator ultimate v4 0 activation key.

Scripts can be created in Jobs or Workflows. They are singe-use objects and are not stored in the Data Services object library. They can be used to declare and assign variables, call a SQL function or perform SQL statements. DESCRIPTION can refer to the function or task that the script is performing or the name of a table that the script is loading. Course contents/Topics covered in SAP BODS course. One practical example on SCD. Key Generation Transform. Difference b/w Key Generation and Row Generation Transform. 16 - Local Variables and Parameters 16 - Local Variables and Parameters 1. Creation of Custom function with Local variables and Parameters. No of Views: 168.

Here is the step by step guide to achieve the transformation.

Create a Project

Create a Batch Job

Bod Key Products

Take Work Flow and Data Flow

Take Date Generation Transformation

Double Click on Date_Generation Transform and Provide the details as below

Take the Query Transformation and join to the Date Generation Transformation

Go to Query Transform and Create New Output Column

/what-is-the-key-to-generating-a-bell-curve.html. Provide the Name for the Output Column to return the week in year

Go to Functions and select Date Functions then week_in_year function and click on Next

Select the Date_Generation Transform generated column then click on Finish

After mapping the week_in_year and create another New Output Column to Quarter of the Year

Give the name and data type for another output column then click on OK

Go to Functions and select Date Functions and the select quarter and click on Next

Select the Date_Generation transform generated column and click on OK

Click on Finish

Again create another output column return last date

Name the column and data type for the newly created output column

Go to Date functions and select last_date function then click on Next

Click on Finish

After mapping the all new ouput columns ,Validate the current window

Take the Template Table and join to the Query Transformation

Execute the Job

After executing the job check the data in the Target

Thanks for following.

In cryptography, a key derivation function (KDF) is a cryptographic hash function that derives one or more secret keys from a secret value such as a master key, a password, or a passphrase using a pseudorandom function.^[1][2] KDFs can be used to stretch keys into longer keys or to obtain keys of a required format, such as converting a group element that is the result of a Diffie–Hellman key exchange into a symmetric key for use with AES. Keyed cryptographic hash functions are popular examples of pseudorandom functions used for key derivation.^[3]

Uses of KDFs[edit]

• In conjunction with non-secret parameters to derive one or more keys from a common secret value (which is sometimes also referred to as 'key diversification'). Such use may prevent an attacker who obtains a derived key from learning useful information about either the input secret value or any of the other derived keys. A KDF may also be used to ensure that derived keys have other desirable properties, such as avoiding 'weak keys' in some specific encryption systems.
• The most common^{[citation needed]} use of KDFs is the password hashing approach to password verification, as used by the passwd file or shadow password file. KDFs happen to have the characteristics desired for a 'password hash function', even though they were not originally designed for this purpose.^{[citation needed]} The non-secret parameters are called 'salt' in this context.

In 2013 a Password Hashing Competition was announced to choose a new, standard algorithm for password hashing. On 20 July 2015 the competition ended and Argon2 was announced as the final winner. Four other algorithms received special recognition: Catena, Lyra2, Makwa and yescrypt.^[4]

• As components of multiparty key-agreement protocols. Examples of such key derivation functions include KDF1, defined in IEEE Std 1363-2000, and similar functions in ANSI X9.42.
• To derive keys from secret passwords or passphrases.
• To derive keys of different length from the ones provided: one example of KDFs designed for this purpose is HKDF.
• Key stretching and key strengthening.

Key stretching and key strengthening[edit]

Key derivation functions are also used in applications to derive keys from secret passwords or passphrases, which typically do not have the desired properties to be used directly as cryptographic keys. In such applications, it is generally recommended that the key derivation function be made deliberately slow so as to frustrate brute-force attack or dictionary attack on the password or passphrase input value.

Such use may be expressed as DK = KDF(key, salt, iterations), where DK is the derived key, KDF is the key derivation function, key is the original key or password, salt is a random number which acts as cryptographic salt, and iterations refers to the number of iterations of a sub-function. The derived key is used instead of the original key or password as the key to the system. The values of the salt and the number of iterations (if it is not fixed) are stored with the hashed password or sent as cleartext (unencrypted) with an encrypted message.^[5]

The difficulty of a brute force attack increases with the number of iterations. A practical limit on the iteration count is the unwillingness of users to tolerate a perceptible delay in logging into a computer or seeing a decrypted message. The use of salt prevents the attackers from precomputing a dictionary of derived keys.^[5]

Key Generation In Sap Bods

An alternative approach, called key strengthening, extends the key with a random salt, but then (unlike in key stretching) securely deletes the salt.^[6] This forces both the attacker and legitimate users to perform a brute-force search for the salt value.^[7] Although the paper that introduced key stretching^[8] referred to this earlier technique and intentionally chose a different name, the term 'key strengthening' is now often (arguably incorrectly) used to refer to key stretching.

History[edit]

The first^{[citation needed]} deliberately slow (key stretching) password-based key derivation function was called 'crypt' (or 'crypt(3)' after its man page), and was invented by Robert Morris in 1978. It would encrypt a constant (zero), using the first 8 characters of the user's password as the key, by performing 25 iterations of a modified DES encryption algorithm (in which a 12-bit number read from the real-time computer clock is used to perturb the calculations). The resulting 64-bit number is encoded as 11 printable characters and then stored in the Unix password file.^[9] While it was a great advance at the time, increases in processor speeds since the PDP-11 era have made brute-force attacks against crypt feasible, and advances in storage have rendered the 12-bit salt inadequate. The crypt function's design also limits the user password to 8 characters, which limits the keyspace and makes strong passphrases impossible.^{[citation needed]}

Modern password-based key derivation functions, such as PBKDF2 (specified in RFC 2898), use a cryptographic hash, such as SHA-2, more salt (e.g. 64 bits and greater) and a high iteration count (often tens or hundreds of thousands).

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NIST requires at least 128 bits of random salt and a NIST-approved cryptographic function, such as the SHA series or AES (MD5 is not approved).^[10] Although high throughput is a desirable property in general-purpose hash functions, the opposite is true in password security applications in which defending against brute-force cracking is a primary concern. The growing use of massively-parallel hardware such as GPUs, FPGAs, and even ASICs for brute-force cracking has made the selection of a suitable algorithms even more critical because the good algorithm should not only enforce a certain amount of computational cost not only on CPUs, but also resist the cost/performance advantages of modern massively-parallel platforms for such tasks. Various algorithms have been designed specifically for this purpose, including bcrypt, scrypt and, more recently, Lyra2 and Argon2 (the latter being the winner of the Password Hashing Competition). The large-scale Ashley Madison data breach in which roughly 36 million passwords hashes were stolen by attackers illustrated the importance of algorithm selection in securing passwords. Although bcrypt was employed to protect the hashes (making large scale brute-force cracking expensive and time-consuming), a significant portion of the accounts in the compromised data also contained a password hash based on the general-purpose MD5 algorithm which made it possible for over 11 million of the passwords to be cracked in a matter of weeks.^[11]

In June 2017, NIST issued a new revision of their digital authentication guidelines, NIST SP 800-63B-3,^[12]:5.1.1.1 stating that: 'Verifiers SHALL store memorized secrets [i.e. passwords] in a form that is resistant to offline attacks. Memorized secrets SHALL be salted and hashed using a suitable one-way key derivation function. Key derivation functions take a password, a salt, and a cost factor as inputs then generate a password hash. Their purpose is to make each password guessing trial by an attacker who has obtained a password hash file expensive and therefore the cost of a guessing attack high or prohibitive.' and that 'The salt SHALL be at least 32 bits in length and be chosen arbitrarily so as to minimize salt value collisions among stored hashes.'

References[edit]

1. ^Bezzi, Michele; et al. (2011). 'Data privacy'. In Camenisch, Jan et al. (eds.). Privacy and Identity Management for Life. Springer. pp. 185–186. ISBN9783642203176.CS1 maint: uses editors parameter (link)
2. ^Kaliski, Burt; RSA Laboratories. 'RFC 2898 – PKCS #5: Password-Based Cryptography Specification, Version 2.0'. IETF.
3. ^Zdziarski, Jonathan (2012). Hacking and Securing IOS Applications: Stealing Data, Hijacking Software, and How to Prevent It. O'Reilly Media. pp. 252–253. ISBN9781449318741.
4. ^'Password Hashing Competition'
5. ^ ^ab'Salted Password Hashing – Doing it Right'. CrackStation.net. Retrieved 29 January 2015.
6. ^Abadi, Martın, T. Mark A. Lomas, and Roger Needham. 'Strengthening passwords.' Digital System Research Center, Tech. Rep 33 (1997): 1997.
7. ^U. Manber, 'A Simple Scheme to Make Passwords Based on One-Way Functions Much Harder to Crack,' Computers & Security, v.15, n.2, 1996, pp.171–176.
8. ^Secure Applications of Low-Entropy Keys, J. Kelsey, B. Schneier, C. Hall, and D. Wagner (1997)
9. ^Morris, Robert; Thompson, Ken (3 April 1978). 'Password Security: A Case History'. Bell Laboratories. Archived from the original on 22 March 2003. Retrieved 9 May 2011.
10. ^NIST SP 800-132 Section 5.1
11. ^Goodin, Dan (10 September 2015). 'Once seen as bulletproof, 11 million+ Ashley Madison passwords already cracked'. Ars Technica. Retrieved 10 September 2015.
12. ^Grassi Paul A (June 2017). 'SP 800-63B-3 – Digital Identity Guidelines, Authentication and Lifecycle Management'. NIST. doi:10.6028/NIST.SP.800-63b.Cite journal requires journal= (help)

Further reading[edit]

• Percival, Colin (May 2009). 'Stronger Key Derivation via Sequential Memory-Hard Functions'(PDF). BSDCan'09 Presentation. Retrieved 19 May 2009.