Public procurement, a major sector of government spending, is highly vulnerable to corruption due to its complex and opaque vendor selection processes. To address this, a secure whistleblowing platform has been developed, allowing individuals to anonymously report sensitive information to authorities. The system features two panels: one for government authorities to manage reports and another for whistleblowers to submit tips. It includes robust security measures against malware, phishing, XSS, and SQL injection to ensure data integrity and confidentiality. By using decentralized storage, the platform enhances information security while reducing server costs. Through real-time testing, the system will be refined to meet all requirements, promoting transparency, accountability, and improved public service quality
Introduction
. Introduction & Purpose
The project addresses the challenge of underreporting of crimes due to citizens' fear of legal procedures, police interaction, and retaliation. It proposes a secure, anonymous crime tip-off platform to:
Encourage crime reporting without identity disclosure.
Increase public participation in crime prevention.
Offer rewards for valid tips as incentives.
Ensure data security via decentralized storage.
2. Key Features
Anonymity: Guests can report crimes without registration.
Multi-tier Access:
Guest Module: For anonymous users.
Agent (Khabri) Module: Authorized users who submit tips.
State Admin Module: Monitors city-level reports.
Super Admin Module: Manages users and oversees national reports.
Decentralized Storage: Enhances security and reduces server costs.
3. Literature Review Insights
AI, ML, MEC, and Blockchain integration enhances efficiency and security at the network edge.
Blockchain ensures data transparency and integrity; research is exploring quantum-resistant cryptography.
Sentiment analysis, NLP, and text classification (especially for Indian languages) are vital for interpreting public opinion and categorizing crime reports.
Public trust in police is a key factor in crime reporting; positive perception increases cooperation.
NFTs are being explored for event ticketing and fraud prevention, showcasing how blockchain tech can manage digital assets securely.
4. Problem Statement
People often avoid reporting crimes due to fear, lack of trust in law enforcement, or the hassle of legal follow-ups. This hampers investigations and justice delivery.
5. Proposed Solution
A Tip-off System featuring:
Anonymous guest submissions.
Multi-role architecture for efficient report routing.
Role-based access (Super Admin, State Admin, Agents).
Rewards for useful information.
6. System Design & Architecture
Guest Module: Allows anyone to submit crime reports without login.
Super Admin Module: Manages all users and national-level data.
State Admin Module: Oversees reports from specific states and manages agent accounts.
Data Flow Diagrams (DFDs): Clearly illustrate workflows for each module.
7. Objectives
Ensure complete user anonymity.
Encourage citizen participation in crime reporting.
Offer rewards for credible tips.
Provide law enforcement with organized and centralized data.
Minimize paperwork through digitization.
Conclusion
The key takeaway from our implementation is the importance of providing a secure and anonymous platform for crime reporting. While victims are typically expected to report crimes, witnesses often play a crucial role in uncovering valuable information. However, many witnesses hesitate to come forward due to fear of exposure or retaliation. Our system aims to prioritize witness protection by enabling them to share information anonymously.
Since not every tip-off is guaranteed to be genuine, implementing an algorithm to distinguish between authentic and false reports would significantly enhance police investigations. Insider information, when verified, holds substantial value in solving crimes. We believe that every individual deserves the right to be heard, and true justice is only possible when witnesses can share their accounts without fearing external threats. By leveraging modern technology, it is entirely feasible to build a reliable and anonymous crime tip-off system that encourages public participation in crime prevention.
Through this research and development, we strive to address all critical aspects of crime reporting and contribute to creating a safer society with this innovative solution.
References
[1] “Blockchain-Empowered Mobile Edge Intelligence, Machine Learning and Secure Data Sharing” - Paper published on March 12th, 2021 by Yao Du, Shuxiao Miao, Zitian Tong, Victoria Lemieux &Zehua Wang - https://www.intechopen.com/online-first/75695
[2] “Sentiment Analysis of Twitter Data: A Survey of Techniques” - Published in April 2016 by Vishal A. Kharde& S.S. Sonawane –
https://arxiv.org/ftp/arxiv/papers/1601/1601.06971.pdf
[3] “A Study of Text Classification Natural Language Processing Algorithms for Indian Languages” - Published in July 2015, by JasleenKaur and Dr.Jatinderkumar R. Saini - https://www.researchgate.net/publication/281965343_A_Study_of_Text_Classification_Natural_Language_P rocessing_Algorithms_for_Indian_Languages
[4] “Ethereum | Whitepaper” - Published in 2013 by VitalikButerin - the Founder of Ethereum - https://ethereum.org/en/whitepaper/
[5] “An anonymous platform for tip-offs on market manipulation” - Article published on 1st October, 2014 by Sachin P Mampatta
https://www.businessstandard.com/article/markets/now-an-anonymousplatform-for-tip-offs-on-market-manipulation114100100577_1.html
[6] “Crime Reporting Behavior: Do Attitudes Toward the Police Matter?” - Published in February 2016 by Francis D. Boateng - https://www.researchgate.net/publication/295855033_ Crime_Reporting_Behavior_Do_Attitudes_Toward_the_Police_Matter
[7] “Why do more than 90% thefts in India’s metro cities go unreported” - Article published on 27th September, 2017 by Avanti Durani and NehaSinha - https://www.hindustantimes.com/india-news/why-domore-than-90-thefts-in-india-s-metro-cities-gounreported/story-FR6WZKAZiqzTRgN7LCilLI.html
[8] “NFTs in Practice - Non-Fungible Tokens as Core Component of a Blockchain-based Event Ticketing Application” - Published in December 2019 by Ferdinand Regner, André Schweizer& Nils Urbach -
https://www.researchgate.net/publication/336057493_NFTs_in_Practice_-_NonFungible_Tokens_as_Core_Component_of_a_Blockchain-based_Event_Ticketing_Application
[9] “NFTs: Digital things and their criminal lives” - Published on 19th August, 2021 by Simon Mackenzie &Di?naB?rzi?a –
https://journals.sagepub.com/doi/abs/10.1177/1741659 0211039797?journalCode=cmca
[10] “Anonymous reporting: Why companies should allow it” - Article published by Moritz Homann on 7 th December, 2021 –
https://www.integrityline.com/engb/expertise/blog/anonymous-reporting-companies/