The Research And Implementation Of CNO Target Deduction Rule Generation

In Computer Network Operations(CNO),intelligence is the actionable information and knowledge of target,and the indispensable basis of Command and Control(C2).The knowledge of which include the Target Deduction Rule(CNOTDR),which need to be generated from the collected target information base of Computer Network Exploitation(CNE).This dissertation conducts the research on CNOTDR generation technology.The main contributions can be summarized as follows:1.By Illustrating what the significance of CNOTDR generation technology means to CNO Imtelligence(CNOI),analyzing and comparing the current rule generation techniques,we summarize the drawbacks of current I sysytem,which have shortness to generate rules automatically.2.By borrowing the Knowledge Discovery theory and recommendation principle from information science as well as the Military Intelligence theory.Firstly,explain the key techniques which are used for constructing CNOTDR generation system,such as information association,association pruning,rule recommendation and so on.we give the basic concepts and activities of CNOTDR,constructing its conceptual architecture.Secondly,a pushdown automaton model is constructed and verified.Thirdly,key algorithms was designed and analysised form the processes.Finally,we give the solution of CNOTDR generation.3.According to the solution,we design a prototype system named Rule-Hunter and implement it on the Basis of Object-Oriented Software development methods.4.Based on the scenario of the I project,we design the user cases to verify the rule generation and recommendation ability of Rule-Hunter.Experiments show that the Rule-Hunter meet the project's demands,not only generate the "feature-platform" rule and "access-behavior"rule automatically,but also recommend the rules which match the intention perfectly.