Gated recurrent neural networks have shown promising results in sequentially embedded
data. They are an improvised version of recurrent neural networks (Hochreiter & …

Everyday, security experts and analysts must deal with and face the huge increase of cyber
security threats that are propagating very fast on the Internet and threatening the security of …

Deep learning provides a wide scope of valuable tools for operating with and analysing
various kinds of data sources. To optimise the workload of employees, Posti Group Oyj, the …

Cyber-attacks have increased greatly in recent years. Therefore, the identification of various
network attacks has been an important research area. An Intrusion Detection System (IDS) …

De este proyecto de investigación radica en la necesidad de conocer con anticipación los
fenómenos hidrológicos extremos que se pueden dar en la ciudad de Cuenca, los cuales …

For years, intrusion detection has been considered a key component of many organizations'
network defense capabilities. Although a number of approaches to intrusion detection have …

Research Article Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance
Dataset for Intrusion Detection Page 1 Research Article Machine-Learning Approach to …

컴퓨터 보안에서 견고한 침입 탐지 시스템을 설계하는 것은 가장 핵심적이고 중요한 문제 중의
하나이다. 본 논문에서는 비정상 기반 호스트 침입 탐지 시스템 설계를 위한 시스템 콜 시퀀스와 …