The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
Samuel T. King, Zhuoqing Morley Mao, Dominic G. Lu...
-International Information Systems, often of critical importance for the operations of the multinational enterprise, are poorly researches and there is a dearth of theoretical fram...
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Abstract. We propose a new type discipline for the -calculus in which secure information flow is guaranteed by static type checking. Secrecy levels are assigned to channels and are...