Analysis of Machine Learning Security Blockchain Based IoT Enabled Web Platform Applications

Abstract

Traditional criminal reporting methods include issues with witness hesitancy, security flaws, and inefficiencies. Even with the introduction of web platforms and mobile applications, there are still issues with data security, transparency, and user anonymity. These include of avoiding unwanted access, preserving confidentiality, and protecting data integrity. This research suggests using smart contracts and blockchain technology to overcome these problems. Improving the anonymity, efficiency, and security of crime reporting procedures is the main goal. In order to guarantee data integrity, transparency, and decentralization, the system makes use of blockchain's decentralized and immutable properties. The reporting process will be streamlined by the automation of tasks like complaint validation and proof verification through smart contracts. The suggested solution aims to transform crime reporting by tackling issues with confidentiality, data integrity, and access control. This will foster transparency, accountability, and confidence.