Citizen Privacy Service: High Assurance Privacy Protection for US Citizens
The Citizen Privacy Service (CPS) is an asynchronous component using artificial intelligence capabilities including description logic and first order logic. As an asynchronous component, CPS plugs into an Enterprise Service Bus (ESB) to provide highly scaleable policy decision and policy enforcement points based on the US Privacy Act of 1974.
Artificial intelligence capabilities include description logic satisfability and OWL entailment using the Pellet description logic reasoner. CPS also uses Stanford Knowledgelab's JTP to generate first order logic proofs derived from goals asserted against a distributed knowledgebase.
In response to a request to disclose a citizen's personally identifiable information, CPS checks the satisfiability of the request and returns the first order logic reasoning steps which support its conclusion to the requestor. These reasoning steps, or information provenance, provides high assurance policy enforcement capabilities for US Federal, State, Local and Tribal governments.
CPS advances the current state of ESB development and provides non-repudiation during audits. CPS is useful to monitor improper disclosure of personally identifiable information during data mining and provides the highest level of information assurance that the government is protecting citizen privacy.
Citizen Privacy Service Governance
The Citizen Privacy Service is early in its evolution and at this time participation has few restrictions. The restrictions are to prevent a conflict of interest in my office as a Federal employee. Anonymous downloads are available to all. Feel free to use the source code and create derivative works under the terms of the license. To avoid the appearance of impropriety and maintain the highest ethical standards, committers will have to be either Federal employees or folks working under a contract to the Federal government.
Contact: Rick Murphy
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