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Proceedings Paper

How ISO/IEC 17799 can be used for base lining information assurance among entities using data mining for defense, homeland security, commercial, and other civilian/commercial domains
Author(s): William G. Perry
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Paper Abstract

One goal of database mining is to draw unique and valid perspectives from multiple data sources. Insights that are fashioned from closely-held data stores are likely to possess a high degree of reliability. The degree of information assurance comes into question, however, when external databases are accessed, combined and analyzed to form new perspectives. ISO/IEC 17799, Information technology-Security techniques-Code of practice for information security management, can be used to establish a higher level of information assurance among disparate entities using data mining in the defense, homeland security, commercial and other civilian/commercial domains. Organizations that meet ISO/IEC information security standards have identified and assessed risks, threats and vulnerabilities and have taken significant proactive steps to meet their unique security requirements. The ISO standards address twelve domains: risk assessment and treatment, security policy, organization of information security, asset management, human resources security, physical and environmental security, communications and operations management, access control, information systems acquisition, development and maintenance, information security incident management and business continuity management and compliance. Analysts can be relatively confident that if organizations are ISO 17799 compliant, a high degree of information assurance is likely to be a characteristic of the data sets being used. The reverse may be true. Extracting, fusing and drawing conclusions based upon databases with a low degree of information assurance may be wrought with all of the hazards that come from knowingly using bad data to make decisions. Using ISO/IEC 17799 as a baseline for information assurance can help mitigate these risks.

Paper Details

Date Published: 18 April 2006
PDF: 7 pages
Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 624106 (18 April 2006); doi: 10.1117/12.663826
Show Author Affiliations
William G. Perry, Western Carolina Univ. (United States)


Published in SPIE Proceedings Vol. 6241:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006
Belur V. Dasarathy, Editor(s)

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