Viktoria: A new Paradigm for Hash Functions

Viktoria hash is a compression function that generates a set of 512 bits from an arbitrary size input (limit of 2^480-1 bytes). This hash function contains some internal routines clearly inspired by AES and RC4 symmetric algorithms [14]. The new paradigm presents two major innovations: a fast preprocessing that initiates an internal state of 256!^2 permutations and a post-processing that guarantees a minimum number of executed rounds of 2^13. The pre-processing allows to differentiate very similar messages in the first runs of the algorithm. In the post-processing we have a safety barrier provided by a large number of rounds through a different structure of the main processing. The Viktoria algorithm seems to inaugurate a new design model in the construction of robust hash functions for some reasons, among them we highlight: the customization of the internal state according to each message, the elegance and efficiency of its main function and also a supposed high margin of safety provided by its post-processing function. Viktoria hash can also process bit oriented messages (whose last byte size is not complete) and generate larger hashes (1024, 1536, 2048 or larger) always as multiples of 512

NJS: Database Protection Algorithm

NJS is a cryptographic protection algorithm for relational databases with non-deterministic symmetric encryption, making it possible to search data with almost the same speed as a clear text search (depending on the parameterization). The algorithm has the characteristic of performing a fast encryption on the data and a slightly slower decryption that is only performed on the client workstation. The entire process of searching, changing, adding and deleting data is performed on the server with the encrypted data. The NJS cipher is not a form of homomorphic encryption, but it can replace it with some search limitations. One advantage is the fact that noise added to the message does not interfere with its decryption, regardless of the number of operations performed on each record in a database table