Vemireddy Prasanth Reddy∗, Jambula Tharun Prasad Reddy†, Kunduru Anil Kumar Reddy‡, Korangi Mahitha Venkata Lakshmie.

DOI: https://doi.org/10.5281/zenodo.23276284

As cyber-threats become increasingly sophisticated in the artificial intelligence (AI) era, law enforcement agencies face severe operational bottlenecks in reporting, triaging, and processing cybercrime complaints [1]. Current literature spans machine learning detection architectures, e-FIR lodging portals, legal framework analyses, and police administrative studies [2, 9]. However, existing research remains highly fragmented: technical threat-detection systems operate in isolation from legal work-flows, while policy and legal studies lack actionable automated implementations [7, 17]. This paper conducts a comprehensive critical evaluation of 20 seminal and contemporary works cover-ing AI cybercrime models, blockchain e-FIR platforms, statutory provisions (IT Act, BNS, DPDP Act), and police operational reports [1–20]. By systematically identifying methodological limi-tations, variables, and procedural gaps across existing studies, we establish the explicit necessity for an integrated, AI-driven Smart FIR system capable of automated complaint triage, evidence extraction, legal mapping, and transparent police workflow integration.

Artificial Intelligence, Cybercrime Detection, e-FIR System, Bharatiya Nyaya Sanhita (BNS), IT Act, DPDP Act, Smart FIR, Police Administration.

This paper critically evaluated 20 foundational works cover-ing AI cybercrime detection, policy frameworks, legal analy-ses, and e-FIR implementations [1–20]. The survey establishes that while individual domain building blocks exist, current solutions fail to offer an operational, citizen-to-police pipeline [12, 13, 15]. The identified gaps provide direct justification for an integrated Smart FIR system that automates triage, maps legal statutes accurately, and optimizes law enforcement response in India [11, 17].

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Vemireddy Prasanth Reddy∗, Jambula Tharun Prasad Reddy†, Kunduru Anil Kumar Reddy‡, Korangi Mahitha Venkata Lakshmie. (2026). Comprehensive Systematic Review and Critical Evaluation of AI-Driven Cybercrime Detection, eFIR Systems, and Legal Frameworks in Indian Policing. International Journal of Computer Science Engineering Techniques, 10(5), 262–265. ISSN: 2455-135X. DOI: https://doi.org/10.5281/zenodo.23276284