A Novel Optimization Model for Blockchain-Based Secure Realtime Data Processing in Mobile Edge Computing

With the increased use of mobile devices and growth in IoT technologies, both are prolific data-generating sources that require real-time processing. Mobile edge computing (MEC) has emerged as an alternative to increased data processing on wireless devices at the edge, leading to lowered latency and enhanced efficiency. However, protecting data from being tampered with or hacked is still a product challenge, especially against the backdrop of Block chain. This paper has proposed a new optimization model for safe real-time data processing block chain technology in MEC. We propose to formulate the trade-off of data process time, cost, and security as objective functions, and then use a genetic algorithm to optimize the resource allocation regarding processing speed. This model is a secure and high-efficiency framework for real-time data processing in MEC without sacrificing data privacy. Experimental And Testing Results-Our experimental results show that our proposed model is efficient and performs well and accurately.