Secure And Verifiable Cloud Based Data Sharing For Law Enforcement With Sensitive Information And Sharing

Suvarna, Ganyashree (2024) Secure And Verifiable Cloud Based Data Sharing For Law Enforcement With Sensitive Information And Sharing. Masters thesis, Dublin, National College of Ireland.

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Abstract

In the field of the law enforcement the managing and sharing of sensitive data specially criminal records containing Personally Identifiable Information (PII) which is very sensitive and is of most importance. This Secure and Verifiable Cloud-Based Data Sharing for Law Enforcement with Sensitive Information and Encryption project addresses the critical need for enhanced data security , done by developing a robust system for detecting, encrypting, and securely sharing PII within the criminal datasets. Using AWS cloud services including S3 for data storage, Lambda for event driven orchestration and SageMaker for automated processing, this project ensures that the sensitive information is protected throughout the entire lifecycle of data.

The law enforcement data encryption project employs the Fernet symmetric encryption algorithm in order to secure the PII, ensuring that data is only accessible to authorized individuals and not everyone. The system is designed in a way that it automatically triggers data processing workflows when new datasets is uploaded to the S3,thereby allowing for real-time encryption and secure storage. Docker containers are utilized within the SageMaker environment to provide the consistent runtime ensuring that the processing tasks are performed efficiently and securely.

This project majorly focuses on providing a broad and scalable solution for the secure management of criminal datasets in the cloud environments, thereby reducing the risk of breaching of data and unauthorized access to it. By facilitating secure data sharing among the law enforcement agencies and the legal organizations the system not only protects sensitive information but it also supports effective collaboration across multiple stakeholders involved.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Deshmukh, Sudarshan UNSPECIFIED
Uncontrolled Keywords:	Cloud Security; Law Enforcement; Cryptography; Personally Identifiable Information; SageMaker; Crime Data Protection
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security H Social Sciences > HV Social pathology. Social and public welfare > Police. Garda.
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	04 Jul 2025 11:29
Last Modified:	04 Jul 2025 11:29
URI:	https://norma.ncirl.ie/id/eprint/8060

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