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BLOCKCHAIN BASED MONITORING AND REPORTING SYSTEM FOR INTERNATIONAL ENVIRONMENTAL TREATIES BY INDIA

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BLOCKCHAIN BASED MONITORING AND REPORTING SYSTEM FOR INTERNATIONAL ENVIRONMENTAL TREATIES BY INDIA

ORDINARY APPLICATION

Published

date

Filed on 8 November 2024

Abstract

ABSTRACT Blockchain-Based Monitoring and Reporting System for International Environmental· Treaties by India This research introduces a comprehensive B/ockchain-Based Monitoring and Reporting System for India's compliance with international environmental treaties, designed to enable transparent, verifiable, and automated reporting on critical environmental parameters. The system employs a permissioned blockchain, utilizing Hyperledger Fabric, to establish a distributed ledger that records environmental data from various sensor nodes deployed in ecologically sensitive zones. These loT -enabled sensors ·continuously collect metrics related to carbon emissions, air and water quality, biodiversity levels, and deforestation rates. Data from these·sensors is transmitted through secure communication protocols and authenticated using cryptographic hashing, ensuring data integrity before it is recorded on the blockchain. To enhance data accuracy and efficiency, the system incorporates edge computing, which preprocesses sensor data at local nodes, reducing latency and minimizing network congestion. ML algorithms integrated at these edge nodes provide predictive analytics, enabling the system to flag potential violations of treaty obligations based on historical and real-time data patterns. A consensus mechanism based on Practical Byzantine Fault Tolerance (PBFT) ensures rapid transaction validation while maintaining security and res-istance to tampering. This system allows for role-based access control, where Indian government agencies can securely access specific datasets and generate compliance reports in real-time. Smart contracts automate treaty-specific compliance checks,automatically generating alerts if non-compliance is detected. The system incorporates advanced GIS capabilities to map environmental data spatially, providing actionable insights on region-specific environmental impacts.

Patent Information

Application ID202441085855
Invention FieldCOMMUNICATION
Date of Application08/11/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
Dr.K.R.GopalanDr.K.R.Gopalan, Assistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 9543993661 gopalankr.ssl@saveetha.comIndiaIndia
Dr. G.Divya BharathiAssistant Professor of Botany, Sri Sarada College for Women (Autonomous), Salem-16, Tamil Nadu Affiliated to Periyar University Salem drdivyabharathi.bot@gmail.com 9488853121IndiaIndia
Dr. T. C.KarthikheyanAssociate Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077IndiaIndia
Mr.Abraham StephanAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 abrahamstephen.ssl@saveetha.com 8848791527IndiaIndia
Mahin koskaAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 mahinkoska.ssl@saveetha.com 7550131469IndiaIndia
Dr.K.S.Shoba JasminAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 shobajasminks.ssl@saveetha.com 9962957450IndiaIndia
Dr. A.KannanProfessor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 kannana.ssl@saveetha.com 9629716574IndiaIndia
Jaisri Y RSaveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 jaisriyuvaraj7@gmail.com 8072653762IndiaIndia
Divya SNo 610, Saravana nagar 1st cross street, Vellingapattarai, Kanchipuram - 631502, Tamil Nadu divyasenthil240406@gmail.com 9444333517IndiaIndia

Applicants

NameAddressCountryNationality
Dr.K.R. GopalanDr.K.R.Gopalan, Assistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 9543993661 gopalankr.ssl@saveetha.comIndiaIndia
Dr. G.Divya BharathiAssistant Professor of Botany, Sri Sarada College for Women (Autonomous), Salem-16, Tamil Nadu Affiliated to Periyar University Salem drdivyabharathi.bot@gmail.com 9488853121IndiaIndia
Dr. T. C.KarthikheyanAssociate Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077IndiaIndia
Mr.Abraham StephanAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 abrahamstephen.ssl@saveetha.com 8848791527IndiaIndia
Mahin koskaAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 mahinkoska.ssl@saveetha.com 7550131469IndiaIndia
Dr.K.S.Shoba JasminAssistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 shobajasminks.ssl@saveetha.com 9962957450IndiaIndia
Dr. A.KannanProfessor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 kannana.ssl@saveetha.com 9629716574IndiaIndia
Jaisri Y RSaveetha School of Law, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Velappanchavadi, Maduravoyal, Chennai, Tamil Nadu, 600077 jaisriyuvaraj7@gmail.com 8072653762IndiaIndia
Divya SNo 610, Saravana nagar 1st cross street, Vellingapattarai, Kanchipuram - 631502, Tamil Nadu divyasenthil240406@gmail.com 9444333517IndiaIndia

Specification

FIELD OF THE INVENTION
The present invention relates to environmental monitoring and regulatory compliance systems,
specifically to a blockchain-based framework for monitoring, recording, and reporting data to support
India's adherence to international environmental treaties. This invention utilizes blockchain technology,
loT-enabled environmental sensors, machine learning, and geospatial analytics to ensure accurate,
secure, and transparent data collection and reporting. It is designed to provide a scalable solution for
tracking various environmental parameters, automating compliance checks, and generating real-time
compliance reports for government agencies and international organizations, thereby promoting
accountability and streamlined treaty compliance.
Background of the proposed invention:
India, as a signatory to numerous international environmental treaties-such as the Paris Agreement
and the Convention on Biological Diversity-faces significant challenges in accurately monitoring,
~ reporting, and verifying environmental data to demonstrate compliance with these agreements.
~ Traditionally, environmental data collection and reporting processes are fragmented and vulnerable to
inaccuracies, delays, and even tampering, resulting in data that may lack credibility or fail to meet
international standards. Additionally, the decentralized nature of environmental data sources across vast
and diverse ecosystems makes it difficult for regulatory bodies to achieve reliable and comprehensive
monitoring. Blockchain technology offers a promising solution for creating a secure; immutable, and
transparent framework that can address these challenges. By leveraging a blockchain ledger,
environmental data can be securely recorded, ensuring that records remain untampered and verifiable
over time. Furthermore, the integration of loT -enabled sensors can automate the collection of highfrequency
environmental data (e.g., carbon emissions, water quality, and biodiversity levels) across
various geographic regions. Coupled with machine learning, these sensors can provide predictive
insights into potential treaty non-compliance, allowing for proactive intervention. Despite these
advancements, current environmental monitoring solutions lack a cohesive architecture that can
aggregate data from multiple sources, ensure its integrity, and provide real-time access to stakeholders
in a secure and standardized manner. This invention addresses these needs by integrating blockchain,
loT, and machine learning technologies into a unified system specifically tailored to support' India's
compliance with international environmental obligations. It provides a robust infrastructure for
continuous environmental monitoring, automated compliance verification, and transparent reporting,
thereby enhancing India's ability to meet global environmental standards and facilitating greater
international trust and cooperation.
Summary of the proposed invention:
The proposed invention is a B/ockchain-Based Monitoring and Reporting System designed to support
India's compliance with international environmental treaties. This system integrates blockchain
technology, loT -enabled environmental sensors, machine learning, and geospatial analytics to provide
a secure, transparent, and automated framework for monitoring and reporting on key environmental
parameters such as carbon emissions, water quality, air pollution, deforestation, and biodiversity levels.
The system utilizes a permissioned blockchain framework, specifically Hyperledger Fabric, to store
environmental data in a tamper-proof, decentralized ledger. Environmental data is collected in real-time
from loT sensors deployed across ecologically sensitive regions, ensuring accurate, continuous
monitoring. Edge computing technology is used to preprocess data at local nodes, reducing latency and
network congestion, while machine learning algorithms analyze environmental trends and flag potential
compliance violations based on historical and real-time data patierns. To ensure robust security, data is
authenticated using cryptographic hashing before being recorded on the blockchain. Smart contracts
automatically execute compliance checks and·trigger notifications or alerts when a treaty's parameters
are at risk of non-compliance. The system also integrates advanced GIS capabilities to visually represent
the environmental data, offering spatial insights and enabling stakeholders to assess the impact in
specific regions. The platform is designed to be scalable, supporting integration with other global
environmental databases and providing the flexibility to add new environmental parameters or treaties.
It features role-based access control, allowing government agencies, international bodies, and NGOs to
securely access relevant data and generate real-time compliance reports. By providing transparent,
automated, and verifiable data, the system strengthens India's environmental accountability on a global
scale, while simplifying reporting processes and ensuring timely compliance with international treaties.
This invention not only enhances transparency and trust between stakeholders but also enables proactive
environmental management by predicting and addressing potential non-compliance issues before they
escalate, contributing to more effective and efficient global environmental governance.
Brief description of the proposed invention:
The proposed invention is a Blockchain-Based Monitoring and Reporting System for India's
environmental treaty compliance. It integrates blockchain technology with loT-enabled environmental
sensors, machine learning' , and geospatial data to provide a secure,. transparent, and automated solution
for monitoring key environmental indicators, including carbon emissions, water quality, air pollution,
and biodiversity levels. The system uses a permissioned blockchain framework (e.g., Hyperledger
Fabric) to record and secure environmental data collected from real-time loT sensors deployed in
various ecological zones across India. The collected data is authenticated and encrypted before being
stored in a decentralized, tamper-proof ledger. Edge computing is incorporated to preprocess the data
locally and reduce latency. Machine learning algorithms analyze the collected data for compliance
trends, automatically triggering alerts when potential violations of international treaties are detected.
The system uses smart contracts to execute predefined compliance checks and generate real-time reports
accessible by authorized stakeholders, including government agencies and international organizations.
Additionally, GIS mapping capabilities provide spatial visualization of environmental data to offer
insights into region-specific impacts. The invention aims to enhance India's environmental
accountability by providing an immutable, transparent, and scalable platform for real-time monitoring
and automated reporting, ensuring timely compliance with international environmental treaties.
We Claim:
I. A blockchain-based monitoring and ·reporting system for ensuring compliance with
international environmental treaties, comprising:
o a Permissioned blockchain framework configured to record and securely store
environmental data;
o a Plurality of loT -enabled sensors deployed m ecologically sensitive regions to
. collect.real,time environmental-data .including-carbon-emissions,-water quality, air-- -· ·-- --
pollution, and biodiversity levels;
o an Edge computing layer configured to preprocess the collected environmental data
at local sensor nodes;
o a Machine learning module that analyzes the processed data to identify trends,
anomalies, and potential violations of treaty parameters;
o a Smart contract mechanism that automatically performs compliance checks based
on predefined environmental treaty parameters;
o · a Geospatial information system (GIS) module for visualizing environmental data
spatially;
o a Role-based access control system to grant secure access to authorized stakeholders
for viewing and generating compliance reports.
2. The system of claim I, wherein the permissioned blockcbain framework is based on
Hyperledger Fabric.
3. The system of claim I, wherein the JoT-enabled sensors are configured to measure one or
more of carbon dioxide, particulate matter, water pH, temperature, dissolved oxygen, or
deforestation rates.
4. The system of claim I, wherein the machine learning module uses predictive_analytics to
forecast environmental trends and generate alerts for early detection of non-compliance with
environmental treaties.
5. The system of claim I, wherein the edge computing layer processes the collected
environmental data locally to reduce latency and network congestion before transmitting it to
the blockchain.
6. The system of claim I, wherein the smart contract mechanism automatically triggers
notifications or actions when a violation of a predetlned treaty parameter is detected.
7. The system of claim I, wherein the GIS module provides spatial mapping of environmental
data to show region-specific impacts of environmental parameters.
8. The system of claim I, wherein the role-based access control system is configured to allow
different stakeholders, including government agencies, international bodies, and nongovernmental
organizations, to access specific sets of data based on their roles.
9. The system of claim I, wherein the environmental data stored on the blockchain is encrypted
using cryptographic hashing techniques to ensure data integrity and security.
10. The system of claim I, wherein the system is designed to be scalable and configurable to
support the addition of new environmental parameters and international treaties as they evolve over time.

Documents

NameDate
202441085855-Form 1-081124.pdf12/11/2024
202441085855-Form 2(Title Page)-081124.pdf12/11/2024

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