portada Parallel Genetic based Secure Data Storage Model for Cloud Data (en Inglés)

Parallel Genetic based Secure Data Storage Model for Cloud Data (en Inglés)

Formato

Libro Físico

Autor

Deva Prasad Kareti

Ilustrado por

Ussenaiah M

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

216

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1.2 cm

Peso

0.32 kg.

ISBN13

9786139837649

Categorías

Tecnología de la información: cuestiones generales

Parallel Genetic based Secure Data Storage Model for Cloud Data (en Inglés)

Deva Prasad Kareti (Autor) · Ussenaiah M (Ilustrado por) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Parallel Genetic based Secure Data Storage Model for Cloud Data (en Inglés)"

In this work, the problem of data security in cloud data storage is investigated. For this purpose, an effective and hybrid distributed scheme, namely, Parallel Genetic based Secure Data Storage Model (PGSDSM) is proposed. The optimal computing nodes are selected and keys are generated in a heterogeneous cloud environment by using Parallel Genetic Algorithm (PGA). Hence, the crossover, mutation and selection operators are used to calculate the best fitness value. The distributed function evaluation is one of the successful applications of PGA. The parallelization of fitness evaluation is done by assigning a fraction of the population to each of the computing nodes. PGA is not only the extension of traditional Genetic Algorithm (GA), it represents a new class of algorithms and searches the space of solutions differently. In many cases, PGA provides better performance than the single population based algorithms and it reduces the time and number of function evaluations to locate a solution. Advanced Encryption Standard (AES) algorithm is employed to perform the encryption and decryption processes.