Personally Indentifiable Information (PII) Guard

Progeny System proposes a Personally Identifiable Information (PII) Guard architecture solution that acts as a gateway for organizations that desire to access Social Internet of Things (SIoT) while needing to adhere to privacy protection policy with minimal loss of actionable information. Addressing SIoT is forward thinking of the evolutionary trend towards a ubiquitous computing paradigm where thing and human type sensors and embedded systems are interconnected. The technical approach is to PII protect information retrieved from both thing and human type sensors and embedded processors containing PII such as surveillance video, face recognition cameras, License Plate Recognition (LPR) cameras, databases and social networks. A guard architecture approach does not require institutionalized privacy protection across global SIoT to ensure privacy protection of information, providing 100% confidence in adhering to PII protection policies. PII protected analytics with temporal, spatial, geographical, group and customizable extent functionality is provided within the PII Guard, maintaining actionable information in the absence of PII. The ability to specify domain ontologies is provided to improve analytics performance by organizing and ranking information artifacts based on ontology correlation. Both PII anonymization and de-identification PII protection methods are supported where the latter can be re-identified as situations and policy permit. To address scalability, the Apache Hadoop architecture is used which is designed to provide distributed storage and processing of Big Data on computer clusters. Commercial applications include intelligence use-cases such as counter terrorism, disaster relief, public safety and security, and law enforcement.