Detection System of Computer Network Virus Password Algorithm Based on Big Data

With the rapid development of computer technology and the Internet, computer viruses have become a serious threat to computer information security. Analyzing computer virus password algorithms can help people better prevent viruses and malicious attacks. Therefore, in the big data environment, the computer network virus password algorithm detection system based on big data has become a research hotspot. This paper mainly studies the working principle of the computer network virus password algorithm detection system based on big data, analyzes the main functions of the system, and introduces its main functional modules in detail. Finally, the feasibility and effectiveness of the computer network virus password algorithm detection system based on big data are verified by the experimental results. The experimental results show that the detection accuracy and detection efficiency of the system reached the highest 95.3 % and 95.9%, respectively, which has high reliability and practicability. The system can effectively analyze the password algorithm of computer viruses and detect potential virus threats in a timely manner. This is of great significance to improve the protection capabilities of computer information security and protect users' data and privacy.