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Feedback equivalence of convolutional codes over finite rings

100%

DeCastro-García N.

Open Mathematics

2017

tom 15

nr 1

1495-1508

The approach to convolutional codes from the linear systems point of view provides us with effective tools in order to construct convolutional codes with adequate properties that let us use them in many applications. In this work, we have generalized feedback equivalence between families of convolutional codes and linear systems over certain rings, and we show that every locally Brunovsky linear system may be considered as a representation of a code under feedback convolutional equivalence.

Expert knowledge and data analysis for detecting advanced persistent threats

51%

Moya J. R., DeCastro-García N., Fernández-Díaz R.-Á., Tamargo J. L.

Open Mathematics

2017

tom 15

nr 1

1108-1122

Critical Infrastructures in public administration would be compromised by Advanced Persistent Threats (APT) which today constitute one of the most sophisticated ways of stealing information. This paper presents an effective, learning based tool that uses inductive techniques to analyze the information provided by firewall log files in an IT infrastructure, and detect suspicious activity in order to mark it as a potential APT. The experiments have been accomplished mixing real and synthetic data traffic to represent different proportions of normal and anomalous activity.

Ograniczanie wyników

2 Open Mathematics

2 DeCastro-García N.

1 Fernández-Díaz R.-Á.

1 Moya J. R.

1 Tamargo J. L.

2 2017

Wyniki wyszukiwania

Feedback equivalence of convolutional codes over finite rings

Expert knowledge and data analysis for detecting advanced persistent threats