Most existing systems have sufficient data integrity but lack appropriate communication and decision-making methods that allow for timely responses to change. This paper discusses the use of a blockchain-based design as a method for overcoming these limitations by utilizing secure communication protocols and smart evidence management to support electronic evidence. An architecture based on multi-layers is constructed on top of blockchain, cryptographic encoding, hybrid storage (blockchain + IPFS) and a reinforcement learning-based adaptive component. The system is experimentally tested on both simulated and real-world digital evidence sets in different network loads, and attack conditions. The use of metrics like integrity accuracy, communication reliability, latency and scalability is used to measure performance. The proposed framework has high integrity preservation (>99%), enhanced the reliability of communications, and less latency as compared to baseline systems. The hybrid architecture can be used successfully to reduce the storage overheads.
Divyanshu Sinha, Hastimal Jangid, G. Radha Krishna Murthy et al.· Advances in wireless technol...· 0 citations
The proposed chapter suggest a highly complex machine learning crime prediction model on an intelligent heterogeneous policing network, which will have to consider dynamic environment, multimodal, and real-time decision-making. A deep learning (CNN LSTM) hybrid architecture that is founded on graph neural networks and reinforcement learning is created. With the assistance of multimodal fusion strategy and the security and privacy preservation measures that are inherent in the framework, the spatial, temporal, behavioral and environmental data are calculated. The proposed model is more predictive since it has an accuracy of 96.8, and AUC-ROC of 0.98, which is better than the traditional and standalone deep learning models. The adaptive learning and multimodal data can be much more useful regarding context awareness, power and responsiveness in the intricate police situations. The framework will also help in the real-time crime prediction and the best distribution of resources and as such can be applied in smart city policing systems.
Pradeep Sambamurthy, Sanjeev Gour, S. Vamsee Krishna et al.· Advances in wireless technol...· 0 citations
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