Computation of Big Data Security through Cross-Layer Techniques

Because smart devices are so common and have generated enormous volumes of data, a new strategy is required to handle the kinds of data known as big data in the modern world. Many people are quite concerned about security because of the size of big data. Therefore, encryption is the best way to secure data; nevertheless, typical procedures are insufficient to fully protect huge data sets. Therefore, specific, and effective security algorithm solutions are required to protect large amounts of data. It becomes problematic when a sizable amount of the data is not encrypted and there is uncertainty about the data. Therefore, a cross-layer security architecture is offered in this research to secure the important component of the data. Numerous data security approaches are employed to safeguard data, ensure that crucial information is not lost, and encrypt it using a robust encryption algorithm. Based on encryption time and throughput, a comparison is conducted between the cross-A-coin approach and the suggested framework. Throughput is used to calculate performance based on encryption time, followed by full encryption.