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Security and privacy concerns, as well as legal considerations, force many companies to encrypt the sensitive data in their databases. However, storing the data in encrypted format entails significant performance penalties during query processing. In this paper, we address several design issues related to querying encrypted relational databases. The experiments we conducted on benchmark datasets show...
Database provenance chronicles the history of updates and modifications to data, and has received much attention due to its central role in scientific data management. However, the use of provenance information still requires a leap of faith. Without additional protections, provenance records are vulnerable to accidental corruption, and even malicious forgery, a problem that is most pronounced in...
Insider threats cause the majority of computer system security problems. An anomaly-based intrusion detection system (IDS), which can profile normal behaviors for all users and detect anomalies when a user’s behaviors deviate from his/her profiles, can be effective to protect computer systems against insider threats. Although many IDSes have been developed at the network or host level, there are still...
Data integrity and quality is a very critical issue in many data-intensive decision-making applications. In such applications, decision makers need to be provided with high quality data on which they can rely on with high confidence. A key issue is that obtaining high quality data may be very expensive. We thus need flexible solutions to the problem of data integrity and quality. This paper proposes...
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