Internet Financial Security Based on Big Data

Abstract

The purpose of this paper is to analyze the “external” and “internal” security challenges of Internet financial enterprises, to study information security risks and protection strategies, which will help to grasp the security pain points and inspire Internet financial enterprises to carry out information security construction. In this paper, H Internet financial enterprises as a practical case, through the combination of theory and information security risk assessment, information security status and shortcomings, derived information security optimization protection strategy. Through the analysis of real cases, combining the ISMS information security management system and data security capability maturity model (CMM) theory, obtained the big data security protection strategy suggestion: should first start from meet the requirements of national laws and regulations policy, by constructing a more reasonable data security organization, perfecting and implementing targeted landing process, the data security system deployment utility and relatively effective tool of data safety technology, strengthen the personnel safety awareness and safety operation skill level, to improve through five aspects and improvement, can effectively improve the Internet financial enterprises large data information security protection.