Preventing Spoliation of Evidence with Blockchain: A Perspective from South Asia

• URL: http://arxiv.org/abs/2107.14050v1
• Date: Wed, 14 Jul 2021 11:59:12 GMT
• Title: Preventing Spoliation of Evidence with Blockchain: A Perspective from South Asia
• Abstract summary: Evidence destruction and tempering is a time-tested tactic to protect the powerful perpetrators, criminals, and corrupt officials. We propose a conceptual model - 'EvidenceChain', through which citizens can anonymously upload digital evidence. Person uploading the evidence can anonymously share it with investigating authorities or openly with public, if coerced by the perpetrators or authorities.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Evidence destruction and tempering is a time-tested tactic to protect the powerful perpetrators, criminals, and corrupt officials. Countries where law enforcing institutions and judicial system can be comprised, and evidence destroyed or tampered, ordinary citizens feel disengaged with the investigation or prosecution process, and in some instances, intimidated due to the vulnerability to exposure and retribution. Using Distributed Ledger Technologies (DLT), such as blockchain, as the underpinning technology, here we propose a conceptual model - 'EvidenceChain', through which citizens can anonymously upload digital evidence, having assurance that the integrity of the evidence will be preserved in an immutable and indestructible manner. Person uploading the evidence can anonymously share it with investigating authorities or openly with public, if coerced by the perpetrators or authorities. Transferring the ownership of evidence from authority to ordinary citizen, and custodianship of evidence from susceptible centralized repository to an immutable and indestructible distributed repository, can cause a paradigm shift of power that not only can minimize spoliation of evidence but human rights abuse too. Here the conceptual model was theoretically tested against some high-profile spoliation of evidence cases from four South Asian developing countries that often rank high in global corruption index and low in human rights index.

Related papers

• Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework [61.79960727298522]
  We propose SecureCollaRAG, a Byzantine-tolerant collaborative RAG framework.<n>Our approach enables agent system to securely verify document provenance through dynamic GNN-based credibility scoring.<n>Through extensive evaluations and formal analysis, we demonstrate that SecureCollaRAG maintains robustness against attackers under non-IID data distributions.
  arXiv  Detail & Related papers  (2026-08-05T02:13:37Z)
• DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform [0.0]
  We present DeepFake Forensics AI, a unified platform that detects synthetic media across image, video, and audio modalities.<n>Our system trains four independent neural networks from scratch and anchors forensic evidence immutably on the blockchain.<n>To our knowledge, this is the first system unify multi-modal deepfake detection with blockchain-based chain-of custody management.
  arXiv  Detail & Related papers  (2026-05-28T04:47:28Z)
• Where Trust Fails: Mapping Location-Data Provenance Risks in Europe [1.0026496861838448]
  This paper frames a cross-sector analysis as a location-data provenance problem.<n>It argues for treating location as a digital primitive that should be represented as evidence-bearing claims.<n>The outcome is a sector-neutral foundation for future architectural work on a next-generation digital trust infrastructure for Europe.
  arXiv  Detail & Related papers  (2026-04-15T09:36:50Z)
• Agents of Chaos [50.53354213047402]
  We report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment.<n>Twenty AI researchers interacted with the agents under benign and adversarial conditions.<n>Our findings establish the existence of security-, privacy-, and governance-relevant vulnerabilities in realistic deployment settings.
  arXiv  Detail & Related papers  (2026-02-23T16:28:48Z)
• TxRay: Agentic Postmortem of Live Blockchain Attacks [52.658018348998105]
  Within five years, the DeFi ecosystem has lost over 15.75B USD to reported exploits.<n>We present TxRay, a postmortem system that reconstructs live ACT attacks from limited evidence.<n>On 114 incidents from DeFiHackLabs, TxRay produces an expert-aligned root cause and an executable PoC for 105 incidents, achieving 92.11% end-to-end reproduction.
  arXiv  Detail & Related papers  (2026-02-01T16:17:33Z)
• The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence [49.94160400740222]
  We introduce MisBelief, a framework that generates misleading evidence via collaborative, multi-round interactions.<n>Using MisBelief, we generate 4,800 instances across three difficulty levels to evaluate 7 representative LLMs.<n>Results indicate that while models are robust to direct misinformation, they are highly sensitive to this refined evidence.<n>We propose Deceptive Intent Shielding (DIS), a governance mechanism that provides an early warning signal by inferring the deceptive intent behind evidence.
  arXiv  Detail & Related papers  (2026-01-09T02:28:00Z)
• On the Credibility of Deniable Communication in Court [1.8047694351309207]
  Evidentiary processes in courts have been developed over centuries to account for the reality that evidence has always been forgeable.<n>We argue that deniability does not and need not change this paradigm.
  arXiv  Detail & Related papers  (2025-10-19T15:14:43Z)
• A Decentralized Framework for Ethical Authorship Validation in Academic Publishing: Leveraging Self-Sovereign Identity and Blockchain Technology [0.0]
  Unconsented authorship, gift authorship, author ambiguity, and undisclosed conflicts of interest threaten academic publishing.<n>This paper introduces a decentralized framework leveraging Self-Sovereign Identity (SSI) and blockchain technology.<n>A blockchain-based trust registry records authorship consent and peer-review activity immutably.<n>This work represents a step toward a more transparent, accountable, and trustworthy academic publishing ecosystem.
  arXiv  Detail & Related papers  (2025-08-03T20:26:19Z)
• How Malicious AI Swarms Can Threaten Democracy [42.60750455396757]
  Malicious AI swarms can coordinate covertly, infiltrate communities, evade traditional detectors, and run continuous A/B tests.<n>The result can include fabricated grassroots consensus, fragmented shared reality, mass harassment, voter micro-suppression or mobilization.<n>We urge a three-pronged response: always-on swarm-detection dashboards, pre-election high-fidelity swarm-simulation stress-tests, transparency audits, and optional client-side "AI shields" for users.
  arXiv  Detail & Related papers  (2025-05-18T13:33:37Z)
• It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma [12.663727952216476]
  We develop a Byzantine-robust peer prediction framework towards the design of one-phase Bayesian truthful mechanisms for the decentralized verification games. Our study provides a framework of incentive design for decentralized verification protocols that enhances the security and robustness of the blockchain.
  arXiv  Detail & Related papers  (2024-06-03T21:21:17Z)
• Evidence Tampering and Chain of Custody in Layered Attestations [0.0]
  In distributed systems, trust decisions are made on the basis of integrity evidence generated via remote attestation. We present algorithms for identifying all such tampering opportunities for given evidence as well as tampering "strategies" by which an adversary can modify incriminating evidence without being detected. Our efforts are intended to help protocol designers ensure their protocols reduce evidence tampering opportunities to the smallest, most trustworthy set of components possible.
  arXiv  Detail & Related papers  (2024-01-31T21:54:53Z)
• AI and Democracy's Digital Identity Crisis [0.0]
  Privacy-preserving identity attestations can drastically reduce instances of impersonation and make disinformation easy to identify and potentially hinder. In this paper, we discuss attestation types, including governmental, biometric, federated, and web of trust-based. We believe these systems could be the best approach to authenticating identity and protecting against some of the threats to democracy that AI can pose in the hands of malicious actors.
  arXiv  Detail & Related papers  (2023-09-25T14:15:18Z)
• Argumentation Schemes for Blockchain Deanonymization [3.184882058033374]
  We develop argumentation schemes to legal reasoning about cryptocurrency deanonymisation. We demonstrate the applicability of the resulting schemes through an exemplary real-world case. Ultimately, we envision that using our schemes in legal practice can solidify the evidential value of blockchain investigations.
  arXiv  Detail & Related papers  (2023-05-26T12:37:55Z)
• Complex Claim Verification with Evidence Retrieved in the Wild [73.19998942259073]
  We present the first fully automated pipeline to check real-world claims by retrieving raw evidence from the web. Our pipeline includes five components: claim decomposition, raw document retrieval, fine-grained evidence retrieval, claim-focused summarization, and veracity judgment.
  arXiv  Detail & Related papers  (2023-05-19T17:49:19Z)
• Untargeted Backdoor Attack against Object Detection [69.63097724439886]
  We design a poison-only backdoor attack in an untargeted manner, based on task characteristics. We show that, once the backdoor is embedded into the target model by our attack, it can trick the model to lose detection of any object stamped with our trigger patterns.
  arXiv  Detail & Related papers  (2022-11-02T17:05:45Z)
• Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems [80.3811072650087]
  We show that it is possible to subtly modify claim-salient snippets in the evidence and generate diverse and claim-aligned evidence. The attacks are also robust against post-hoc modifications of the claim. These attacks can have harmful implications on the inspectable and human-in-the-loop usage scenarios.
  arXiv  Detail & Related papers  (2022-09-07T13:39:24Z)
• Quantum Proofs of Deletion for Learning with Errors [91.3755431537592]
  We construct the first fully homomorphic encryption scheme with certified deletion. Our main technical ingredient is an interactive protocol by which a quantum prover can convince a classical verifier that a sample from the Learning with Errors distribution in the form of a quantum state was deleted.
  arXiv  Detail & Related papers  (2022-03-03T10:07:32Z)
• Synthetic Disinformation Attacks on Automated Fact Verification Systems [53.011635547834025]
  We explore the sensitivity of automated fact-checkers to synthetic adversarial evidence in two simulated settings. We show that these systems suffer significant performance drops against these attacks. We discuss the growing threat of modern NLG systems as generators of disinformation.
  arXiv  Detail & Related papers  (2022-02-18T19:01:01Z)
• SNARKs to the rescue: proof-of-contact in zero knowledge [0.0]
  This paper describes techniques to help with COVID-19 automated contact tracing, and with the restoration efforts. We describe a decentralized protocol for proof-of-contact'' in zero knowledge where a person can publish a short cryptographic proof attesting to the fact that they have been infected.
  arXiv  Detail & Related papers  (2020-05-26T13:00:37Z)
• Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review [79.49390241265337]
  Chalearn Face Anti-spoofing Attack Detection Challenge consists of single-modal (e.g., RGB) and multi-modal (e.g., RGB, Depth, Infrared (IR)) tracks. This paper presents an overview of the challenge, including its design, evaluation protocol and a summary of results.
  arXiv  Detail & Related papers  (2020-04-23T06:43:08Z)
• Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality [0.0]
  Digital deception raises concerns over role of Internet and social media in democratic societies. This overview aims to explore the potential of Distributed Ledger Technologies (DLTs) and blockchain to combat digital deception. Some recommendations are enumerated to guide future researchers on issues that will have to be tackled to face fake news, disinformation and deepfakes.
  arXiv  Detail & Related papers  (2019-04-10T18:42:45Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.