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Traditional cryptographic storage uses encryption to ensure confidentiality of file data. However, encryption can prevent efficient random access to file data. Moreover, no cryptographic storage file system allows file sharing with similar semantics to UNIX group sharing. The Cryptographic Storage File System (Cepheus) provides confidentiality and integrity(More)
— End-user privacy in smart meter measurements is a well-known challenge in the smart grid. The solutions offered thus far have been tied to specific technologies such as batteries or assumptions on data usage. Existing solutions have also not quantified the loss of benefit (utility) that results from any such privacy-preserving approach. Using tools from(More)
Outline ● Introduction ● Model ● Utility-privacy tradeoff region ● Conclusion and future work Introduction ● Current approaches lack a formal model of privacy and thus cannot answer some questions such as: – how much privacy is lost in such methods? – how much sensitive information can and should be left in the data so that it is still useful? ● In other(More)
Ensuring the usefulness of electronic data sources while providing necessary privacy guarantees is an important unsolved problem. This problem drives the need for an analytical framework that can quantify the privacy of personally identifiable information while still providing a quantifiable benefit (utility) to multiple legitimate information consumers.(More)
Quantifying security risk is an important and yet difficult task in enterprise network security management. While metrics exist for individual software vulnerabilities, there is currently no standard way of aggregating such metrics. We present a model that can be used to aggregate vulnerability metrics in an enterprise network, producing quantitative(More)
Ensuring the usefulness of electronic data sources while providing necessary privacy guarantees is an important unsolved problem. This problem drives the need for an overarching analytical framework that can quantify the safety of personally identifiable information (privacy) while still providing a quantifable benefit (utility) to multiple legitimate(More)
The problem of frequent private information “leakage” from the myriad large centralized searchable data repositories in use today drives the need for an analytical framework that quantifies unequivocally how safe private data can be (privacy) while still providing measurable benefit (utility) to multiple legitimate information consumers. Rate(More)
The problem of private information “leakage” (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the need for an analytical framework that quantifies unequivocally how safe private data can be (privacy) while still providing useful benefit (utility) to multiple legitimate information(More)
Ensuring the usefulness of electronic data sources while providing necessary privacy guarantees is an important unsolved problem. This problem drives the need for an overarching analytical framework that can quantify the safety of personally identifiable information (privacy) while still providing a quantifable benefit (utility) to multiple legitimate(More)