A Java Data Security Framework (JDSF) and its Case Studies
This work addresses data security integration for Java-based systems like MARF and HSQLDB, but it is incremental as it builds on existing security concepts without introducing new paradigms.
The authors tackled the problem of aggregating diverse data security approaches into a unified Java framework, resulting in the Java Data Security Framework (JDSF) with sub-frameworks for confidentiality, integrity, and authentication, applied to MARF and HSQLDB use-cases.
We present the design of something we call Confidentiality, Integrity and Authentication Sub-Frameworks, which are a part of a more general Java Data Security Framework (JDSF) designed to support various aspects related to data security (confidentiality, origin authentication, integrity, and SQL randomization). The JDSF was originally designed in 2007 for use in the two use-cases, MARF and HSQLDB, to allow a plug-in-like implementation of and verification of various security aspects and their generalization. The JDSF project explores secure data storage related issues from the point of view of data security in the two projects. A variety of common security aspects and tasks were considered in order to extract a spectrum of possible parameters these aspects require for the design an extensible frameworked API and its implementation. A particular challenge being tackled is an aggregation of diverse approaches and algorithms into a common set of Java APIs to cover all or at least most common aspects, and, at the same time keeping the framework as simple as possible. As a part of the framework, we provide the mentioned sub-frameworks' APIs to allow for the common algorithm implementations of the confidentiality, integrity, and authentication aspects for MARF's and HSQLDB's database(s). At the same time we perform a detailed overview of the related work and literature on data and database security that we considered as a possible input to design the JDSF.