Data Exposure Detection with Improved Privacy System

Abstract

Statistics from security firms, analysis institutions and government organizations show that the number of data-leak instances has adult quickly in recent years. Among varied data-leak cases, human mistakes ar one in each of the foremost causes of knowledge loss. There exist solutions detection unintended sensitive information leaks caused by human mistakes and to provide alerts for organizations. a typical approach is to screen content in storage and transmission for exposed sensitive data. Such Associate in nursing approach generally desires the detection operation to be conducted in secrecy. However, this secrecy demand is tough to satisfy in follow, as detection servers is additionally compromised or outsourced. Throughout this paper, we've got a bent to gift a privacy preserving knowledge-leak detection (DLD) answer to resolve the matter where a special set of sensitive information digests is utilized in detection. The advantage of our technique is that it permits the information owner to firmly delegate the detection operation to a semi honest provider whereas not revealing the sensitive information to the provider. We’ve got a bent to explain but internet service suppliers offers their customers DLD as Associate in nursing add-on service with sturdy privacy guarantees. The analyses results show that our technique can support correct detection with very little vary of false alarms below varied data-leaks eventualities.