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Research Article

A Security-enhanced Advertising Platform based on Blockchain and Edge Computing in Generative AI

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Article: 2340395 | Received 22 Dec 2023, Accepted 28 Mar 2024, Published online: 11 Apr 2024
 

ABSTRACT

With the development of advertising technology, especially the emergence of generative artificial intelligence, the generation and editing of advertising content has become more convenient and efficient. However, this also brings new security risks to digital advertising. For example, in order to generate personalized advertising content, AI can collect user behavior data without the user’s knowledge and automatically generate ads that are beneficial to advertisers. In addition, the main issue regarding outdoor advertising is whether the outdoor advertising platform can deliver the advertising content required by the advertiser at the designated place and time according to the actual requirements of the customer. Combining blockchain and edge computing technology, this paper builds a security-enhanced outdoor advertising platform. The decentralized, non-tamperable and traceable features of blockchain technology provide the advertising platform with credibility between users and advertisers, as well as credibility between advertisers and the advertising platform. At the same time, the terminal controller with edge processing capabilities improves the efficiency of advertising and enhances the task balance between the server and the playback side. Experimental results show that the platform can effectively manage user identities and maintain advertising plans. It not only improves data security and credibility, but also has good performance.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are openly available in Gitee at https://gitee.com/xxl2018141424/system.git, reference number system-2023.

Additional information

Funding

This work was supported by the 2023 Digital Learning Technology Integration and Application of Ministry of Education Engineering Research Center Innovation Fund Project, under grant [1311014].