An extensible framework for analysis of Java language-based security conformance. Java is a programming language and platform running on 3 billion devices. While Java provides a sandbox-based security architecture within the Java Class Library to protect systems from untrusted code downloaded from Internet, it cannot defend against implementation bugs that occur in the Java Class Library. The goal of this project is to provide a formal model of the Java security architecture, which can be used b ....An extensible framework for analysis of Java language-based security conformance. Java is a programming language and platform running on 3 billion devices. While Java provides a sandbox-based security architecture within the Java Class Library to protect systems from untrusted code downloaded from Internet, it cannot defend against implementation bugs that occur in the Java Class Library. The goal of this project is to provide a formal model of the Java security architecture, which can be used by program analysers to identify faulty or insufficient security checks in the Java Class Library that may lead to the sandbox being bypassed.Read moreRead less
RichProlog, a System for Deducing, Inducing and Learning in the Declarative Programming Paradigm. The aim of the project is to contribute to bridge the gap between learning and logic, theoretically and practically. Our purpose is to extend considerably the scope of the declarative programming paradigm, and build a system that can be used to solve learning or discovery problems as encountered in Artificial Intelligence. The system will enable rapid prototyping when applied to problems involving d ....RichProlog, a System for Deducing, Inducing and Learning in the Declarative Programming Paradigm. The aim of the project is to contribute to bridge the gap between learning and logic, theoretically and practically. Our purpose is to extend considerably the scope of the declarative programming paradigm, and build a system that can be used to solve learning or discovery problems as encountered in Artificial Intelligence. The system will enable rapid prototyping when applied to problems involving deduction, induction, and nonmonotonic reasoning. We intend the system to become a standard tool for tackling a broad range of applications, and the underlying theory to provide new insights on the logical foundations of Artificial Intelligence.
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