Study On Intrusion Detection System Based On Data Fusion

Intrusion detection technology from the beginning of the eighties has been studied by the people of the world, and the study of multi-sensor data fusion of its earlier years, but multi-sensor data fusion theory and technology applied to the intrusion detection system in the current study is still hot. Multi-sensor data fusion for next generation intrusion detection system constructed and computer space status report provides an important framework for the functional. Multi-sensor data fusion development of research across multiple disciplines of information science and its applications cover numerous applications. How to make use of data fusion to improve the performance of multi-sensor system, has become academic and the industrial sector is currently facing an important issue.Most of the existing intrusion detection system there is a false alarm rate, reporting rate, mass and other alert information is difficult to analyze defects, resulting in an important reason for this phenomenon is the single source of data and analysis of the level is too low. First to introduce the subject of this article the background, analysis of the current development trends; then back to the basics of the subject made a detailed introduction; and then focuses on the multi-sensor data fusion systems and intrusion detection technologies; the final track correlation of theory and evidence The in-depth study will be multi-sensor data fusion theory and technology to study intrusion detection system.Proved through theoretical and experimental verification, the use of multi-sensor detection can be effectively overcome the traditional intrusion detection system as a result of single-detector and in data collection and analysis of the limitations, resulting in improved overall performance testing. Track Association and evidence-based theory of the intrusion detection algorithm makes the intrusion detection system with lower uncertainty, thereby increasing confidence in the system.