Name: A Multi-Level Security in Cloud Computing: Image Sequencing and rsa Algorithm (en Inglés)
SKU: 63260444
Price: 48.32 USD
Availability: InStock
Author: Ashwin Dhivakar

portada A Multi-Level Security in Cloud Computing: Image Sequencing and rsa Algorithm (en Inglés)

A Multi-Level Security in Cloud Computing: Image Sequencing and rsa Algorithm (en Inglés)

Formato

Libro Físico

Editorial

Lightning Source Inc

Autor

Ashwin Dhivakar

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9783954893119

A Multi-Level Security in Cloud Computing: Image Sequencing and rsa Algorithm (en Inglés)

Ashwin Dhivakar (Autor) · Lightning Source Inc · Tapa Blanda

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Reseña del libro "A Multi-Level Security in Cloud Computing: Image Sequencing and rsa Algorithm (en Inglés)"

Currently cloud computing environments have come up with a serious problem known as security which is in terms of Confidentiality of Data, Integrity of the Message and Authenticity of the users (CIA). Since user's personal data is being stored in an unencrypted format on a remote machine operated by third party vendors who provide various services, the impact of user's identity and unauthorized access or disclosure of files are very high. Though we have various techniques and algorithms to protect our data from hackers and intruders still cloud environments are prone to other attacks. In this book, a novel approach is implemented to protect user's confidential data from third party service providers, and also to make sure that the data is not disclosed to any unauthentic user or the service provider even, in any cloud environments. This approach provides a multi-level security in three aspects: 1) User authentication for 'authorization' to enter the network, 2) Image Sequencing password for 'authentication' wherein it is proved that the identity is original user and 3) RSA algorithm to encrypt the data further for providing 'data integrity'. Thus this approach provides an overall security to the client's personal data and the major issue of confidentiality, integrity and authenticity is fully solved. Implemented results are represented to illustrate that our approach has a reasonable performance.