RUMOOZ ALJAREEMAH: An Intelligent Search System for UAE Criminal Law with Case Correlation Framework for Forensic Investigators

Document Type

Conference Proceeding

Source of Publication

Procedia Computer Science

Publication Date

1-1-2026

Abstract

Digital forensic investigations in the UAE encounter dual challenges: effectively correlating data across cases and complying with local legal frameworks. Conventional methods create information silos that hide connections between instances and increase the probability of procedural errors. This paper presents RUMOOZ ALJAREEMAH, a prototype platform for case correlation designed for cybersecurity experts and forensic investigators in the UAE. The approach integrates a correlation engine with a UAE-specific legal compliance framework, using authentication protocols, bilingual assistance, and text-based search algorithms. Our theoretical framework suggests enhancements in investigative efficiency, including reduced case resolution durations, improved identification of cross-case relationships, and a decrease in procedural errors. The platform offers a practical option for forensic tools tailored to UAE judicial requirements, enabling investigators to connect cases to precedents while adhering to appropriate legal procedures.

ISSN

1877-0509

Publisher

Elsevier BV

Volume

278

First Page

300

Last Page

307

Disciplines

Computer Sciences

Keywords

case correlation, criminal law compliance, cybersecurity, digital evidence management, Forensic investigation, UAE legal framework

Scopus ID

105041039584

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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