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An Examination of Legal Guidelines and Procedures in Digital Forensics for Cybercrime Investigation Based on Data

Dr. K. Satyam1, Sirimavilla Parameswara2
1Associate Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra
Pradesh, India.
2 Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra
Pradesh, India.

ABSTRACT:Because it makes it possible to systematically gather, examine, and present digital evidence, digital forensics is essential to criminal investigations. However, the validity and legal admissibility of such evidence are frequently impacted by inconsistent forensic reporting, unclear methodology, and differences in reasoning. In order to improve investigative insights, this article provides a web-based decision support system for digital forensic inquiry that was created using the Django framework and incorporates data analysis and visualisation techniques. Structured forensic data with characteristics like opinion type, source level, activity level, offence level, and categorical judgements are processed by the suggested system. The system finds patterns and inconsistencies in forensic reports through preprocessing and analytical assessment. Key findings including opinion distribution, risk levels, and methodological variances are shown using a variety ofvisualisation approaches, such as pie charts, bar graphs, and comparative charts. The experimental findings show that the approach successfully draws attention to methodological ambiguity and inconsistent reasoning in forensic reports, which mayhave an effect on judicial decision-making. The suggested approach enhances transparency, facilitates better interpretation of forensic data, and helps investigators make well-informed conclusions by offering an interactive and user-friendly interface. The goal of future research is to use machine learning models for automated forensic evaluation and predictive analysis.
Keywords:Digital Forensics, Cybercrime Investigation, Django Framework, Data Analysis, Data Visualization, Forensic Reporting, Decision Support System, Legal Evidence Analysis