With the continuous development and maturity of big data technology in the IT field, big data has gradually penetrated into all walks of life. In the field of security, big data has a wide range of application scenarios, bringing deep value. After a preliminary exploration, security big data also face some technical difficulties. For these issues, we analyze the unique features of the security industry and discuss some appropriate solutions to make big data technology better serve the security industry.
Big data technology originated in the IT field and is currently the most mature application in the Internet and e-commerce. Google, based on the massive search logs of users, successfully predicted the spread of the disease in North America; through analyzing and processing a large number of corpus, it provided users with accurate online translation. Amazon based on the user's past purchase behavior, analyze the specific user group's purchase "taste" to provide accurate advertising recommendations in their own website. Domestic Taobao, by analyzing the log of Internet users browsing merchandise, to provide buyers with related matches to a specific product.
In other industries, the use of big data is also common:
In the health industry, a nationwide electronic archives and electronic medical records are being constructed. Through the national electronic medical record database, we can analyze the health status of the entire people, monitor the spread of related diseases, and provide reference for the implementation of health precautions.
In the electric power industry, by analyzing electricity usage records in large regions, it is possible to optimize the management mode of electric power enterprises, improve the level of business operations, provide a strong reference for infrastructure decisions, improve the level of smart control, and strengthen the collaborative management of electric power. In the same way as for the entire country, through the analysis of the electricity situation, we can grasp the state of the economy in macro terms and provide reference for the formulation of economic policies.
In the logistics industry, by analyzing a large number of past delivery records, we can grasp the flow of large categories of items on a macroscopic basis, transport items to specific areas in advance, and increase delivery efficiency. In foreign countries, a large-scale supermarket can analyze the general flow of traffic and goods, and can send specific types of goods to specific stores within a precise time frame, reduce inventory time, increase turnover, and create corporate profits.
Similarly, big data is also widely used in the field of security.
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