{'fraction_non_alphanumeric': 0.017082785808147174, 'fraction_numerical': 0.0, 'mean_word_length': 5.319502074688796, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Based on Computer Immune Algorithm Model Big Data Security Audit Research

In recent years, with the rapid development of internet big data technology and applications, data security issues have become increasingly serious, and incidents of infringement and theft of citizens’ privacy and sensitive data have emerged endlessly. This article mainly uses the computer immune algorithm model to conduct some in-depth research on the big data security audit problem. Data security refers to the use of multiple operation and maintenance technologies to ensure the normal operation of the data system, thereby ensuring the availability, integrity, and confidentiality of data. In the era of the rapid development of the internet, data security is a problem faces by all major companies, especially some large companies such as power companies, which have huge corporate databases and complex data volumes. Once a data security incident occurs during the operation of an enterprise, it will have a major impact on the business and normal operation of the enterprise. At present, in order to effectively avoid data security issues, many companies have adopted security inspections, graded protection, security audits and other methods to deal with data security issues. At present, data security auditing has become more and more popular among enterprises of a certain size, and related work has been started. Data security audits have gradually become the primary technical means for enterprises to prevent data security issues.