AES encryption algorithm is a universal algorithm, which can be used in many fields, including intelligent marketing. In the field of modern intelligent marketing, every enterprise adopts the platform model to carry out marketing activities, which gives birth to the high-tech intelligent marketing platform. The use of this platform does bring great convenience to marketing activities and effectively improve the success rate and efficiency of marketing. However, with the in-depth use of the intelligent marketing platform, people find that there are many security risks in this platform, including Marketing information may be damaged by people, indicating that the platform needs further optimization. At this time, AES encryption algorithm has become the main method of platform optimization. In order to understand the optimization performance of AES encryption algorithm in the high-tech intelligent marketing platform, this paper will analyze the concept of the algorithm, the existing defects of the platform, the optimization scheme of the platform under the algorithm, and finally simulate the results of the optimization scheme to verify the feasibility of the application of the algorithm.
Under the background of the rapid development in internet technology, the whole marketing is developing towards the direction of intelligence and high technology. The novel social network based on internet technology occupies an important part of the marketing, and has also been widely concerned by the academic community, because the internet makes information data transparent, and the mining, analysis and algorithm research of a large amount of data can provide decision support for marketing and intelligent marketing. Modern data mining analysis mode has become the main solution for data problems. With the development of network technology, business intelligence related to the marketing of high-tech products will become the key component of the future business system, which depends on the overall architecture of the cloud and plays a core role in the process of data analysis and mining.
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