Marketing Data Protection from the Perspective of Network Security: Improving Data Privacy and Security

Abstract

In the context of the digital age, the privacy and security protection of marketing data has become an important challenge faced by enterprises. In view of the shortcomings of existing network security measures in terms of dynamic adaptability and real-time feedback, this paper constructs a comprehensive marketing data security protection system. The system aims to construct a comprehensive protection system to cope with modern network threats and ensure compliance through key modules such as data protection, access control, and monitoring and auditing. The research methods include using AES (advanced encryption standard) and RSA (Rivest-Shamir-Adleman) algorithms to strengthen data encryption, implementing multi-factor authentication to enhance authentication security, and using machine learning technology to optimize real-time monitoring and anomaly detection. The experimental results show that the system constructed in this paper has strong protection capabilities when facing medium and low-intensity attacks. In the performance test, as the load gradually increases from low to high, the system response time also increases from 208ms to 612ms, and at the same time, the system throughput increases from 92 requests per second to 461 requests per second, indicating that the system still has a certain processing capacity under high concurrency. In the system recovery capability test, the system constructed in this paper shows excellent performance. For two unexpected accidents (data loss and system breakdown), the recovery time is 9 minutes and 8 minutes, significantly ahead of other data recovery methods. It can be seen that the marketing data security protection system constructed in this paper can effectively improve the protection capabilities of marketing data.