Cybercrime investigation in India has entered a new legal phase following the commencement of the Bharatiya Nyaya Sanhita, 2023 (BNS), the Bharatiya Nagarik Suraksha Sanhita, 2023 (BNSS), and the Bharatiya Sakshya Adhiniyam, 2023 (BSA). These enactments operate alongside the Information Technology Act 2000, the Digital Personal Data Protection Act 2023 (DPDP Act), sectoral regulation and specialised cybercrime institutions. This article argues that the principal weakness of the present framework is not a lack of offences, but fragmentation across legal classification, investigative procedure, digital-evidence rules, forensic practice, privacy governance and institutional coordination. Using doctrinal legal research supplemented by official policy and institutional material, the article develops an investigation-chain framework linking complaint triage, offence classification, preservation, lawful acquisition, forensic examination, attribution, financial tracing, cross-border evidence, prosecution and adjudication. It evaluates the continuing interaction between general criminal liability under the BNS and technology-specific provisions of the Information Technology Act, while examining the evidentiary significance of electronic records under the BSA. Particular attention is given to cloud evidence, cryptocurrency, ransomware, artificial intelligence and deepfakes. The article contends that technological traceability must not be equated with human attribution and that evidentiary reliability depends on the entire acquisition-to-trial chain. It proposes harmonised investigative protocols, accredited forensic capacity, specialist prosecution and judicial training, auditable access to personal data, improved cross-border preservation mechanisms, and a human-verification requirement for significant AI-assisted investigative outputs. The analysis contributes an India-specific but internationally relevant model for assessing whether contemporary cybercrime law can produce reliable, rights-compliant and trial-ready investigations.
In the context of information technology deeply embedded in social interactions and transactional activities, online chat records have become a representative and frequently used type of electronic evidence in civil litigation. However, such evidence relies on specific technical environments and is easily edited and tampered with, leading to long-standing issues of scattered standards and unclear paths in judicial practice regarding evidence collection, examination, and evaluation of probative value. The current system still shows deficiencies in notarization preservation, judicial authentication, platform assistance obligations, and technical assistance identification, making it difficult to match the highly technological development trend of electronic evidence. Accordingly, it is possible to achieve a structural reshaping of authenticity identification rules by optimizing notarization and authentication mechanisms, clarifying the scope of assistance and procedural obligations of chat software operators, and introducing trusted technical means such as blockchain.
Restricted forensic evidence-trail consolidation. This 42-page German-language whitepaper consolidates the development, integrity, publication and custody evidence for the AUGMANITAI work complex and the thesis of language as versionable code from January through 21 August 2026. It includes an evidence-class model, a month-by-month chronology, verified Zenodo and GitHub anchors, backup and restore findings, claim limitations, a proposed work constitution, and the complete 944-entry April 2026 IP-core manifest with SHA-256 values. The record documents 943 manifest-matching primary files plus one exact original file state recovered from a fossil backup, making all 944 April byte states reconstructible. OpenTimestamps files are present but their Bitcoin confirmation remains unverified in this audit. The paper does not claim worldwide priority, patentability, peer review, empirical validation or a complete external timestamp chain since January. Three contemporaneous restricted records created in parallel on 21 August 2026 are acknowledged as separate evidence anchors: 10.5281/zenodo.22050012, 10.5281/zenodo.22050031 and 10.5281/zenodo.22050033. This record is the long-form forensic consolidation and complete manifest index. Human responsible creator and depositor: Andreas Ehstand. AI-assisted evidence search, hashing, consolidation, typesetting and deposit preparation: OpenAI Codex. Restricted access does not constitute public enabling disclosure. All rights reserved; underlying materials retain their respective licences.
The Prop Trust Verified Standard (PTVS) v1.0 Reference Architecture establishes the definitive technical specification, capability matrix, and implementation guidelines for the physical verification of tokenized Real-World Assets (RWAs) within the European regulatory framework. This document resolves the "Physical Oracle Gap" — the structural inability of Distributed Ledger Technology (DLT) systems to attest to the physical existence, structural integrity, and legal encumbrances of off-chain assets backing tokenized securities — through a deterministic four-pillar architecture: Pillar I — eIDAS 2.0 Qualified Forensic Audits: On-site inspections conducted by sworn judicial experts under Qualified Electronic Signatures (QES) per Regulation (EU) 2024/1183. Pillar II — SHA-256 Cryptographic Lineage: Canonical JSON serialization with deterministic hashing anchored in permanent registries. Pillar III — Smart Contract Circuit Breakers: The open-source PTVSClaimInjector.sol contract (MIT License) enforces automated protective actions based on PTVS Score. Pillar IV — PTCE Network: Decentralized network of Prop Trust Certified Experts with 85/15 revenue split. Institutional validation: Formal submissions to ESMA (FOI/ESMA/2026-001), EBA (FOI/EBA/2026-002), EIOPA (FOI/EIOPA/2026-003, confirmed & registered), and ECB/SSM (FOI/ECB-SSM/2026-004, ADITO portal) Application to INATBA RWA Working Group (FOI/INATBA/2026-005) Permanent registration at CERN/Zenodo, HAL/CNRS (hal-05713062v1), OSF (DOI: 10.17605/OSF.IO/7D2SJ), and U.S. Copyright Office (Cases 1-15210573311 & 1-15234961091) Open governance via the PTVS Technical Board (17 seats, W3C/ISO-inspired) Document scope: 17 pages covering architecture overview, PTVS Score methodology (0-100), Verifiable Claims lifecycle, ERC-3643/T-REX integration, regulatory alignment matrix (MiCA, Solvency II, Eurosystem, eIDAS 2.0), governance model, 20-capability prior art inventory, and comparative analysis vs. Chainlink, Proof of Reserve, IoT sensors, Big Four audits, and registry oracles. Lead Researcher: Aurelio Tamarit Blay, Certified Judicial Expert (Exp. No. 0161, Spain), ORCID: 0009-0007-5824-3602, Wikidata: Q140774713. Institutional motto: Veritas in Re · Certitudo in Code Canonical source: https://forensics-oracle.org/reference-architecture/
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Blockchain Technology Applications and Security
Digital and Cyber Forensics
Physical Unclonable Functions (PUFs) and Hardware Security
Through this independent concept, the study introduces a fresh new perspective to the world of modern forensic accounting via a theory called “The Decentralized Fraud Matrix” (DFM). This conceptual research was developed specifically as an analytical tool to dissect the modus operandi of financial crimes in the digital-cyber era—including Web3 environments, blockchain architecture, DeFi protocols, and autonomous DAO systems. The focus of the DFM theory completely breaks away from the basic assumptions of the conventional fraud triangle, which has long been overly preoccupied with measuring human emotions. Mechanically, the originality of this theory rests on the testing of three interlocking cyber indicators in the field. These three indicators include the level of opacity in an actor’s digital identity concealment; technological engineering designed to break the audit trail of fund flows; and the exploitation of loopholes in physical national sovereignty boundaries, as well as cyber “jurisdictional evasion” tactics aimed at neutralizing the enforcement power of on-ground regulations, thereby rendering perpetrators immune to formal legal prosecution
The rapid growth of cybercrime has significantly increased the importance of digital evidence in criminal investigations and judicial proceedings. However, ensuring the admissibility and reliability of electronic evidence remains a complex challenge due to technological advancements, evolving legal standards, cross-border investigations, and concerns regarding evidence integrity. This narrative review examines the legal and forensic dimensions of digital evidence by synthesizing contemporary literature on its sources, characteristics, governing legal frameworks, and the factors influencing its acceptance in court. The review discusses key issues related to authentication, chain of custody, expert testimony, procedural fairness, and evidence validation, while also evaluating the impact of emerging technologies, including artificial intelligence, blockchain, the Internet of Things, and deepfake detection on digital forensic practice. The findings indicate that reliable digital evidence requires standardized forensic procedures, scientifically validated investigative methods, and harmonized legal frameworks capable of addressing rapidly evolving cyber threats. Strengthening collaboration among forensic practitioners, legal professionals, researchers, and policymakers will be essential for improving evidence integrity, enhancing judicial confidence, and supporting effective cybercrime investigations. The review provides an integrated perspective that contributes to ongoing discussions on developing secure, transparent, and legally robust digital evidence management practices.
Abstract - The rise of digital technology has led to an increase in cybercrime. This has made the management of digital forensic evidence more complicated. Traditional evidence management systems utilize manual methods and centralized databases. Methods like these are vulnerable to data tampering, unauthorized access, and human error. These issues threaten the integrity of the evidence and the chain of custody during the investigation process. In this paper, we introduce a system that utilizes blockchain technology, smart contracts, and a decentralized system for the tracking of forensic evidence. Security and transparency will be guaranteed. In our system, evidence records are stored as ERC-721 Non-Fungible Tokens. A private Ethereum blockchain was developed using Ganache and combined with wallet-based authentication and Role-Based Access Control to ensure that only authorized personnel have the ability to view and manage evidence. Smart contracts facilitate the registration, verification, transfer, and auditing of evidence, thus, considerably reducing the manual work and greatly increasing the trustworthiness of the system. We proposed a hybrid system of storage whereby evidence and its forensic files are stored off chain, and the evidence metadata and its forensic files are stored on chain. This paper presents the design and architecture of the system,implementation and evaluation are in progress.Our system will be a trusted, efficient, and effective system of evidence management.
Zero-knowledge proofs enable a prover to convince a verifier that a statement is true, without revealing the underlying witness data. This primitive naturally lends itself to privacypreserving systems, where hiding the witness prevents the verifier from learning sensitive information. That said, zero-knowledge proofs can also be used in systems where the witness is not necessarily confidential but is not readily available to the verifier. One such use case is image provenance, where signed images are transformed before being distributed. Since the original image is not available to the user, the digital signature cannot be verified without a zero-knowledge proof. In this use case, zeroknowledge proofs enable verification of the authenticity of the image’s source, the integrity of the image contents, and that only permitted transformations were applied. In this work we present an end-to-end prototype system that implements this provenance framework and several optimizations. One of our key optimizations is a packing scheme for reducing the number of Poseidon sponge absorb and permutation operations by ≈31×. We also show that this packing scheme reduces the median prover runtime by ≈40× and the median verifier runtime by ≈22×. We also introduce a chain of trust that removes digital signature verification from the circuit. Finally, we introduce custom PNG chunks that embed the required information in the captured images.