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Full-Text Articles in Databases and Information Systems
Dpweka: Achieving Differential Privacy In Weka, Srinidhi Katla
Dpweka: Achieving Differential Privacy In Weka, Srinidhi Katla
Graduate Theses and Dissertations
Organizations belonging to the government, commercial, and non-profit industries collect and store large amounts of sensitive data, which include medical, financial, and personal information. They use data mining methods to formulate business strategies that yield high long-term and short-term financial benefits. While analyzing such data, the private information of the individuals present in the data must be protected for moral and legal reasons. Current practices such as redacting sensitive attributes, releasing only the aggregate values, and query auditing do not provide sufficient protection against an adversary armed with auxiliary information. In the presence of additional background information, the privacy protection …
A Secure And Fair Resource Sharing Model For Community Clouds, Santhosh S. Anand
A Secure And Fair Resource Sharing Model For Community Clouds, Santhosh S. Anand
Graduate Theses and Dissertations
Cloud computing has gained a lot of importance and has been one of the most discussed segment of today's IT industry. As enterprises explore the idea of using clouds, concerns have emerged related to cloud security and standardization. This thesis explores whether the Community Cloud Deployment Model can provide solutions to some of the concerns associated with cloud computing. A secure framework based on trust negotiations for resource sharing within the community is developed as a means to provide standardization and security while building trust during resource sharing within the community. Additionally, a model for fair sharing of resources is …
Insider Threat Mitigation Models Based On Thresholds And Dependencies, Harini Ragavan
Insider Threat Mitigation Models Based On Thresholds And Dependencies, Harini Ragavan
Graduate Theses and Dissertations
Insider threat causes great damage to data in any organization and is considered a serious issue. In spite of the presence of threat prevention mechanisms, sophisticated insiders still continue to attack a database with new techniques. One such technique which remains an advantage for insiders to attack databases is the dependency relationship among data items. This thesis investigates the ways by which an authorized insider detects dependencies in order to perform malicious write operations. The goal is to monitor malicious write operations performed by an insider by taking advantage of dependencies. A term called `threshold' is associated with every data …