Adaptive Industrial IoT Security Threats Intelligent Perception "Robots"

Abstract

This paper concept to study the security of the automatic discovery method of the threat under the industrial space. By building an adaptive cyberspace security threat to intelligent perception of "robots", the use of its "complex eye" sensor adaptive perception, continuous perception of complex and changeable network space behavior and state changes; Using its tentacles data, automatically connect to a variety of threats from different sources of information; use of its powerful central control intelligence analysis capabilities, self-learning every day, like the alpha dog of self-evolution, accumulating abnormal behavior and threats in cyberspace knowledge base; Using its unique language man-machine cooperation and collaboration security experts, update cyberspace threats and abnormal behavior characteristic of knowledge; finally able to automatically identify threats, and timely warning.