Engineering and Applied Sciences

When considering information security and privacy issues most of the attention has previously focused on data protection and the privacy of personally identifiable information (PII). What is often overlooked is consideration for the operational and transactional data. Specifically, the security...

Research into privacy in web services based service-oriented environment gained attention in recent years. Business Transaction Level Data (TLD) privacy is important because in web services the interaction between the Service Provider and Service consumer is far more complicated than in the...

Often organizations release and receive medical data with all explicit identifiers, such as name, address, phone number, and Social Security number, removed in the incorrect belief that patient confidentiality is maintained because the resulting data look anonymous; however, we show that in most...

Today most organizations release and receive medical data with all explicit identifiers, such as name, address, and phone number, removed in the incorrect belief that patient confidentiality is maintained because the resulting data look anonymous. We examine three computer programs that do...

Sharing medical data with researchers, economists, policy makers, administrators and other secondary viewers, immediately summons for consideration the dichotomy between the recipient’s needs and disclosure risk. Finding the optimal balance between the suppression of details within the...

Today's globally networked society places great demand on the dissemination and sharing of person-specific data. Situations where aggregate statistical information was once the reporting norm now rely heavily on the transfer of microscopically detailed transaction and encounter information. This...

Consider a data holder, such as a hospital or a bank, that has a privately held collection of person-specific, field structured data. Suppose the data holder wants to share a version of the data with researchers. How can a data holder release a version of its private data with scientific...

We present a computer program named Datafly that uses computational disclosure techniques to maintain anonymity in medical data by automatically generalizing, substituting and removing information as appropriate without losing many of the details found within the data. Decisions are made at the...

Sharing data among organizations often leads to mutual benefit. Recent technology in data mining has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address...