Abstract
Data is a critical resource in numerous organizations. One of the challenging problems facing these organizations today is to ensure that only authorized individuals have address to data. Data also has to be protected from malicious corruption.Much of the early work on data security focused on multilevel secure data management systems where users have different clearance levels and data has different sensitivity levels and access to data is governed by the security policies. There were many efforts on securing relational, distributed and objectoriented databases. More recently, several aspects of data security are being investigated including data confidentiality, integrity, trust and privacy. Furthermore, securing data warehouses, semantic web, as well as applying data mining for solving security problems are getting a lot of attentionThis presentation will review the developments in data security and integrity as well as discuss directions for further research and development. In particular, policy management for the semantic web, assured information sharing, privacy preserving data mining and novel ways to build secure data management systems will be discussed.
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