Supplementary Material: Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
نویسندگان
چکیده
Supplementary Material: Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection Gabriel Martos 1, ̊, Nicolás Hernández 2, Alberto Muñoz 2 and Javier M. Moguerza 3 1 Universidad de Buenos Aires and CONICET; [email protected] 2 Universidad Carlos III de Madrid; {nihernan,albmun}@est-econ.uc3m.es 3 Universidad Rey Juan Carlos; [email protected] Academic Editor: name Version January 4, 2018 submitted to Entropy
منابع مشابه
Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
Gabriel Martos 1,*, Nicolás Hernández 2, Alberto Muñoz 2,* and Javier M. Moguerza 3 1 Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Buenos Aires C1428EGA, Argentina 2 Department of Statistics, Universidad Carlos III de Madrid, 28903 Getafe, Spain; [email protected] 3 Department of Computer Science and Statistics, University Rey Juan Carlos, 28933 Mós...
متن کاملThe Rate of Entropy for Gaussian Processes
In this paper, we show that in order to obtain the Tsallis entropy rate for stochastic processes, we can use the limit of conditional entropy, as it was done for the case of Shannon and Renyi entropy rates. Using that we can obtain Tsallis entropy rate for stationary Gaussian processes. Finally, we derive the relation between Renyi, Shannon and Tsallis entropy rates for stationary Gaussian proc...
متن کاملInformation-Theoretic Measures for Anomaly Detection
Anomaly detection is an essential component of the protection mechanisms against novel attacks. In this paper, we propose to use several information-theoretic measures, namely, entropy, conditional entropy, relative conditional entropy, information gain, and information cost for anomaly detection. These measures can be used to describe the characteristics of an audit data set, suggest the appro...
متن کاملRODHA: Robust Outlier Detection using Hybrid Approach
The task of outlier detection is to find the small groups of data objects that are exceptional to the inherent behavior of the rest of the data. Detection of such outliers is fundamental to a variety of database and analytic tasks such as fraud detection and customer migration. There are several approaches[10] of outlier detection employed in many study areas amongst which distance based and de...
متن کاملMoving dispersion method for statistical anomaly detection in intrusion detection systems
A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as tec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2018