Dynamical System Theory for the Detection of Anomalous Behavior in ...
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We accept a program as a blackbox dynamical system whose internals are not known, but whose output we can observe. The blackbox system observable in our model ...
The change in the behavior of a compromised system is detected as anomalous behavior compared with the baseline established from a clean program. We test the ...
The change in the behavior of a compromised system is detected as anomalous behavior compared with the baseline established from a clean program. We test the ...
This paper presents a supervisory control scheme based on the hybrid systems theory and fuzzy events detection approach presented in [1]. The fuzzy event ...
Dec 17, 2012 · Abstract—Code injection is a common approach which is utilized to exploit applications. We introduce some of the well-established.
This paper presents a novel concept of anomaly detection in complex dynamical systems using tools of Symbolic Dynamics,. Finite State Automata, and Pattern ...
Missing: Programs. | Show results with:Programs.
Dec 13, 2019 · This paper presents a system capable of explaining anomalous behavior within network-enabled user sessions by describing and interpreting kernel event ...
We propose a learning framework, which is based on dif- fusion methodology, that performs data fusion and anomaly detection in multi-dimensional time series ...
Missing: Theory Programs.
Apr 15, 2019 · In this article, we present a new Bayesian hierarchical framework that is able to model the relationship between system inputs (sensor measurements) and ...
Missing: Theory Programs.
1 Compute the values of entropy and entropy rate for different values of depth D ranging from 1 to some max-depth. 2 Plot the entropy vs. depth and entropy ...