A Decentralized and Intelligent Approach for Suspicious Event Detection in Surveillance Range
摘要
As the world becomes progressively more concerned about security, a gigantic amount of observational data is being generated by security systems. This data, produced on a daily basis, presents challenges for companies looking to store and manage it efficiently. The scattered nature of the data presents a critical challenge to data storage and analysis. One major concern is the security of data exchanged over devices, as any adversary can capture or alter the data, deceiving the reconnaissance system. Users can exchange files and data over the globe due to the scattered nature of the arrangement. Nevertheless, large files consuming a large amount of transmission bandwidth to upload and download over the web can benefit from the use of IPFS, which has rapidly gained notoriety due to its capacity to run the best of multiple protocols, including FTP and HTTP. Despite IPFS’s numerous focal points, there are security and access control issues, including a lack of traceability in how files are accessed. To address these issues, this article proposes a novel procedure that enhances IPFS with blockchain technology to give a straightforward audit trail. By leveraging blockchain as an asset, data reliability and source security can be improved, offering a clear way to trace all activity related to a specific file. This approach can enhance the security and integrity of the data, increasing confidence in the surveillance system’s ability to work effectively and securely.