Title | Research on Cognitive Linkage of Network Security Equipment |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Du, Jia, Wang, Zhe, Yang, Junqiang, Song, Xiaofeng |
Conference Name | 2019 International Conference on Robots Intelligent System (ICRIS) |
Keywords | Analytical models, Cognition, Cognitive Cycle, Cognitive Linkage, cognitive linkage system model, Communication networks, composability, compositionality, Computational Intelligence, Computational modeling, Couplings, cryptography, decision making, learning (artificial intelligence), network security devices, network security equipment, policy, pubcrawl, security, security of data, weak linkage ability |
Abstract | To solve the problems of weak linkage ability and low intellectualization of strategy allocation in existing network security devices, a new method of cognitive linkage of network security equipment is proposed by learning from human brain. Firstly, the basic connotation and cognitive cycle of cognitive linkage are expounded. Secondly, the main functions of cognitive linkage are clarified. Finally, the cognitive linkage system model is constructed, and the information process flow of cognitive linkage is described. Cognitive linkage of network security equipment provides a new way to effectively enhance the overall protection capability of network security equipment. |
DOI | 10.1109/ICRIS.2019.00083 |
Citation Key | du_research_2019 |