Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

As an important part of the new generation of information technology, the Internet of Things (IoT), with its ubiquitous connection and service characteristics, has penetrated into various fields of application and played an important role. In this paper, based on the study of the basic technology of the environmental Internet of Things, combined with the service-oriented technology architecture SOA, J2EE, multi-level system architecture MVC, real-time database and other technologies and project practice experience, summarized and proposed a kind of environmental quality monitoring integrated management platform design and implementation feasibility scheme. Firstly, the background of the era of big data is described in detail, the urgency and necessity of information security monitoring under the background of big data is clarified, and the three elements of information security monitoring mechanism, namely network monitoring personnel, environment and technology, are proposed, and the three elements as the starting point to establish the information security monitoring mechanism; Starting from the relevant monitoring strategies and safety monitoring technologies, this paper explains the basic principles of constructing the evaluation index system, and establishes the evaluation index system according to the key influencing factors of enterprise information security level in the environment of big data. AHP fuzzy comprehensive evaluation method is chosen on the basis of analyzing various comprehensive evaluation methods, and the weight of each evaluation index is determined and the comprehensive evaluation model is constructed. The establishment of information security monitoring and evaluation system, the use of information security monitoring and evaluation system, for information security monitoring work to provide reference standards. Finally, on the basis of the foregoing, relevant strategies for information security monitoring are proposed, and necessary suggestions are provided for information security work.