Time Optimization of Encrypted QueryRetrieval for Intelligent Big Data

Ali, Rasha Subhi/ Abdul Majeed, Ghassan Hameed/ Farhan, Alaa Kadhim

ISBN 10: 6137332934 / ISBN 13: 9786137332931

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

176 pages. 8.66x5.91x0.40 inches. In Stock.

Seller Inventory # zk6137332934

Bibliographic Details

• Title: Time Optimization of Encrypted QueryRetrieval for Intelligent Big Data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6137332934
• ISBN 13: 9786137332931
• Binding: Paperback
• Condition: Brand New
• Weight: 0.31 kilograms

About this title

Synopsis

The rapid growth in the database data led to create of a large amount of data and the problem to access this data for answering user queries becomes more challenges.This work is concerned with problem of data retrieving from big encrypted database by proposing an approach consists(datamanagement, Encryption, DNA computing and Retrieval). The ICM algorithm and the three proposed clustering algorithm can be applied for big databases in both status (plain and encrypted) form.The second stage presents amodified CAST encryption algorithm to encrypt the database files (original or summarized).The S-Box that is used in the modified CAST algorithm is constructed by using an intelligent technique (DNA computing).Also, modified keys were used; the keys are generated by using AES generator with simple modification. After encryption process, the clusters can be built dynamicallyaccording to the user query byapplying suggested dynamic clustering algorithm which is used for both plain and encrypted data; this process provides time for the retrieval process because the files that are resulted from applying dynamic clustering algorithm include only relevant data to the user query.

About the Author

Rasha Subhi Ali is Doctor in computer science in University of Technology.Prof. Dr. Ghassan Hameed Abdul Majeed is Doctor in Petroleum Engineering in Ministry of Higher Education.Assist. Prof.Dr.Alaa Kadhim Farhan is Doctor in computer science in University of Technology.