Internationale Zeitschrift für Fortschritte in der Technologie
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Multilayered Map Reduce Framework to Link Cybernetic Vulnerabilities and Cybernetic Laws from E-News Articles

Sudhandradevi P*, Bhuvaneswari V

The growth of technology evaluation and the influence of smart gazettes, which have a very complex structure, the amount of data in an organization, E-commerce, and ERP explode. When data is processed as described, it becomes the engine of every individual. According to projections from 2025, social media, I_oT, streaming data, and geodata will generate 80% of unstructured data, and there will be 4.8 billion tech enthusiasts. The most popular social media trend allows users to access publicly available data. Hackers are highly qualified in both the web space and the dark web, and the rise of complexity and digitization of this public access will cause loopholes in legislation. The major goal of this study is to gather information about the cyber vulnerability of electronic news. Data collection, text standardization, and feature extraction were all part of the initial step. In the second step, Map reduce was used to obtain demographic insights using a multi-layered categorization strategy. Cybercrime is classified using a classifier technique, and the model has a 53 percent accuracy rate. Phishing is a result of cyber weaknesses, and it has been discovered in a higher number of metropolitan cities. Men, rather than women, make up the majority of crime victims. Individuals should be made aware of secure access to websites and media, according to the findings of the study. People should be aware of cyber vulnerabilities, as well as cyber laws enacted under the IPC, the IT Act 2000, and CERT-in.