Towards Automated Deduction in Blackmail Case Analysis with Forensic Lucid

TL;DR

This paper explores the application of intensional logic and a new dialect of Lucid, called Forensic Lucid, to improve cyberforensic analysis by modeling evidence as hierarchical contexts and enabling claim evaluation.

Contribution

It introduces Forensic Lucid, a novel dialect of Lucid, for modeling cyberforensic investigations with hierarchical contexts, advancing beyond finite-state automata methods.

Findings

Enhanced modeling of evidence as hierarchical contexts

Improved claim evaluation in cyberforensics

Practical context-aware approach

Abstract

This work-in-progress focuses on the refinement of application of the intensional logic to cyberforensic analysis and its benefits are compared with the finite-state automata approach. This work extends the use of the scientific intensional programming paradigm onto modeling and implementation of a cyberforensics investigation process with the backtrace of event reconstruction, modeling the evidence as multidimensional hierarchical contexts, and proving or disproving the claims with it in the intensional manner of evaluation. This is a practical, context-aware improvement over the finite state automata (FSA) approach we have seen in the related works. As a base implementation language model we use in this approach is a new dialect of the Lucid programming language, that we call Forensic Lucid and in this paper we focus on defining hierarchical contexts based on the intensional logic for the evaluation of cyberforensic expressions.