Title

Inducing intentional errors in concatenated databases

Document Type

Conference Proceeding

Publisher

School of Computer and Information Science, Edith Cowan University

Place of Publication

Perth, Western Australia

School

School of Computer and Information Science

RAS ID

3366

Comments

Originally published as: Shaw, D.T., Shaw, A. , & Maj, S.P. (2004). Inducing intentional errors in concatenated databases. In the Proceedings of the 5th Australian Information Warfare and Security Conference. Perth, Australia: Edith Cowan University.

Abstract

Raw information from surveys is processed to produce useable information for decision support, characterise population segments and construct databases. Concatenation of databases reuses data from multiple sources and requires that duplicate entries are detected, classffied and eliminated. Errors that pass through the 'data noise' removal process occur and may be deliberate on the part of the respondent. Deception on an individual basis is unlikely to be effective though a concerted, decentralised campaign may have substantial effect. Deceptive information provided to a number of surveys may not be detected until concatenation and widespread deception may attack the validity o,f the survey and the reputation of the surveyor or data user.

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