The proposal on the effective query mechanism for the encrypted database
| Contribuinte(s) |
Hur, C |
|---|---|
| Data(s) |
2011
|
| Resumo |
In the recent past, there are some social issues when personal sensitive data in medical database were exposed. The personal sensitive data should be protected and access must be accounted for. Protecting the sensitive information is possible by encrypting such information. The challenge is querying the encrypted information when making the decision. Encrypted query is practically somewhat tedious task. So we present the more effective method using bucket index and bloom filter technology. We find that our proposed method shows low memory and fast efficiency comparatively. Simulation approaches on data encryption techniques to improve health care decision making processes are presented in this paper as a case scenario. |
| Identificador | |
| Publicador |
The Korea Institute of Maritime Information and Communication Sciences 2011 |
| Relação |
Kim, Ji Hong & Sahama, Tony R. (2011) The proposal on the effective query mechanism for the encrypted database. In Hur, C (Ed.) Proceedings of the International Conference of the Korea Institute of Maritime Information and Communication Sciences 2011, The Korea Institute of Maritime Information and Communication Sciences 2011, Uzbekistan, pp. 149-152. |
| Direitos |
Copyright 2011 KIMICS All rights are reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the written permission of the publisher. Single photocopies of single articles may be made for private study or research. Illustrations and short extracts from the text of individual contributions may be copied provided that the source is acknowledged, the permission of the authors is obtained. |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #080600 INFORMATION SYSTEMS #Database #Information security #Bucket index #Bloom filter |
| Tipo |
Conference Paper |
