Multi-agent Processing for Query Camouflage Via Data Perturbation in Online Medical Surveys

Nazni Farooq; Xu Huang; Dharmendra Sharma

doi:10.1007/978-3-540-74829-8_116

Multi-agent Processing for Query Camouflage Via Data Perturbation in Online Medical Surveys

Nazni Farooq, Xu Huang, Dharmendra Sharma

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

Abstract

As technology grows, so do the demands on information systems processing. Modern information systems need to handle diverse tasks that tend to be increasingly complex. Automation of processing by employing artificial intelligence techniques is an essential environment for ensuring the smooth running of information systems. In this paper, we investigate the application of multi-agent information systems for online medical surveys. In particular, our contribution is to extend our previous research results to a multi-agent technology for data perturbation as a means of camouflaging database query results. The decision on when to camouflage data is made by a system of collaborating intelligent agents. When a user query request is entered into the system, processing rules are applied to determine whether the result of the query needs to be camouflaged

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Editors	Bruno Apollini, Robert J. Howlett, Lakhmi Jain
Place of Publication	Germany
Publisher	Springer
Pages	950-958
Number of pages	9
Volume	4694
Edition	1
ISBN (Electronic)	9783540748298
ISBN (Print)	9783540748281
DOIs	https://doi.org/10.1007/978-3-540-74829-8_116
Publication status	Published - 2007

Access to Document

10.1007/978-3-540-74829-8_116

Cite this

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title = "Multi-agent Processing for Query Camouflage Via Data Perturbation in Online Medical Surveys",

abstract = "As technology grows, so do the demands on information systems processing. Modern information systems need to handle diverse tasks that tend to be increasingly complex. Automation of processing by employing artificial intelligence techniques is an essential environment for ensuring the smooth running of information systems. In this paper, we investigate the application of multi-agent information systems for online medical surveys. In particular, our contribution is to extend our previous research results to a multi-agent technology for data perturbation as a means of camouflaging database query results. The decision on when to camouflage data is made by a system of collaborating intelligent agents. When a user query request is entered into the system, processing rules are applied to determine whether the result of the query needs to be camouflaged",

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Multi-agent Processing for Query Camouflage Via Data Perturbation in Online Medical Surveys. / Farooq, Nazni; Huang, Xu ; Sharma, Dharmendra.
Knowledge-Based Intelligent Information and Engineering Systems. ed. / Bruno Apollini; Robert J. Howlett; Lakhmi Jain. Vol. 4694 1. ed. Germany: Springer, 2007. p. 950-958.

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

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