Trusted Data Distribution with Privacy Protection and QoS through Auditable Anonymity

Currently deployed network security solutions focus on protecting authenticity and integrity, but NOT privacy and anonymity. And, current anonymity technology cannot be leveraged to rectify this situation for net-centric warfare infrastructures like GIG because it does not support highly dynamic services effectively. Also, no existing anonymous systems support vital, enterprise-class features such as QoS and pseudonymity via secure logging. “Bluemoon”, however, is an entirely new, privacy-preserving architecture that leverages innovative anonymous “hook” technology to solve these challenges. A recently developed Bluemoon prototype already provides full unobservability and unlinkability for both data sources and destinations, as well as greater security and flexibility than any current-generation offering in the field. The proposed SBIR research will yield a version of Bluemoon, dubbed “Enterprise Bluemoon”, that includes enhancements in QoS and secure logging, and provides a total solution for preserving privacy and anonymity in high assurance, dynamic networks. This proposal describes: (a) the existing research that has gone into creating Bluemoon technology and building the initial prototype (which already meets many of the requirements for a Phase II product) and (b) the enhancements we will develop to effect Enterprise Bluemoon, which addresses all five of the IA gaps identified in the QDR.