A Java Data Security Framework (JDSF) and its Case Studies
Serguei A. Mokhov, Lee Wei Huynh, Jian Li, Farid Rassai

TL;DR
The paper introduces a Java Data Security Framework (JDSF) with sub-frameworks for confidentiality, integrity, and authentication, designed to support secure data storage and verification in Java applications, exemplified through MARF and HSQLDB case studies.
Contribution
It presents a novel extensible Java security framework integrating diverse security algorithms into a unified API, tailored for database and data security applications.
Findings
Framework supports plug-in security algorithms
Enables verification of security aspects in Java applications
Simplifies integration of security features into databases
Abstract
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…
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Taxonomy
TopicsCloud Data Security Solutions · Data Quality and Management · Digital and Cyber Forensics
