The widespread adoption of QR codes has revolutionized various industries, streamlined transactions and improved inventory management. However, this increased reliance on QR code technology also exposes it to potentia...The widespread adoption of QR codes has revolutionized various industries, streamlined transactions and improved inventory management. However, this increased reliance on QR code technology also exposes it to potential security risks that malicious actors can exploit. QR code Phishing, or “Quishing”, is a type of phishing attack that leverages QR codes to deceive individuals into visiting malicious websites or downloading harmful software. These attacks can be particularly effective due to the growing popularity and trust in QR codes. This paper examines the importance of enhancing the security of QR codes through the utilization of artificial intelligence (AI). The abstract investigates the integration of AI methods for identifying and mitigating security threats associated with QR code usage. By assessing the current state of QR code security and evaluating the effectiveness of AI-driven solutions, this research aims to propose comprehensive strategies for strengthening QR code technology’s resilience. The study contributes to discussions on secure data encoding and retrieval, providing valuable insights into the evolving synergy between QR codes and AI for the advancement of secure digital communication.展开更多
This paper analyzed the problems in the existing framework, and achieved a reasonable framework based on reflection and aspect-oriented programming combined with annotations to map the request parameters, and inversio...This paper analyzed the problems in the existing framework, and achieved a reasonable framework based on reflection and aspect-oriented programming combined with annotations to map the request parameters, and inversion of the control of the various components. The proposed framework reduced the volume of the application context, and achieved the purpose that dependencies between the various components are controlled by the framework. Based on the problems existing in the known framework, the lightweight MVC framework was implemented and the proposed framework was tested by JMeter test tool. The test results showed that the framework proposed in this paper can respond to requests faster, improve access throughput and enhance application performance and user experience. The framework proposed in this paper combined the functions of MVC and IOC to minimize the volume of external dependencies in the development and greatly improved the efficiency of Web applications development.展开更多
文摘The widespread adoption of QR codes has revolutionized various industries, streamlined transactions and improved inventory management. However, this increased reliance on QR code technology also exposes it to potential security risks that malicious actors can exploit. QR code Phishing, or “Quishing”, is a type of phishing attack that leverages QR codes to deceive individuals into visiting malicious websites or downloading harmful software. These attacks can be particularly effective due to the growing popularity and trust in QR codes. This paper examines the importance of enhancing the security of QR codes through the utilization of artificial intelligence (AI). The abstract investigates the integration of AI methods for identifying and mitigating security threats associated with QR code usage. By assessing the current state of QR code security and evaluating the effectiveness of AI-driven solutions, this research aims to propose comprehensive strategies for strengthening QR code technology’s resilience. The study contributes to discussions on secure data encoding and retrieval, providing valuable insights into the evolving synergy between QR codes and AI for the advancement of secure digital communication.
文摘This paper analyzed the problems in the existing framework, and achieved a reasonable framework based on reflection and aspect-oriented programming combined with annotations to map the request parameters, and inversion of the control of the various components. The proposed framework reduced the volume of the application context, and achieved the purpose that dependencies between the various components are controlled by the framework. Based on the problems existing in the known framework, the lightweight MVC framework was implemented and the proposed framework was tested by JMeter test tool. The test results showed that the framework proposed in this paper can respond to requests faster, improve access throughput and enhance application performance and user experience. The framework proposed in this paper combined the functions of MVC and IOC to minimize the volume of external dependencies in the development and greatly improved the efficiency of Web applications development.
