IMPROVED NETWORK INTRUSION DETECTION METHOD AND SYSTEM THROUGH HYBRID FEATURE SELECTION AND DATA BALANCING

IMPROVED NETWORK INTRUSION DETECTION METHOD AND SYSTEM THROUGH HYBRID FEATURE SELECTION AND DATA BALANCING

According to the present invention, a network intrusion detection method relates to a network intrusion detection method performed by a network intrusion detection system, which includes the steps of: constructing a deep neural network-based network intrusion detection model through feature selectio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: KIM JINGOOG, MIN BYEONG JUN, PARK JEONGCHAN, SHIN DONGIL, SHIN DONG KYOO
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:According to the present invention, a network intrusion detection method relates to a network intrusion detection method performed by a network intrusion detection system, which includes the steps of: constructing a deep neural network-based network intrusion detection model through feature selection and data balancing; receiving an input of test data for network intrusion detection into the configured network intrusion detection model; and detecting network intrusion on the test data for detecting the network intrusion using the network intrusion detection model. 본 발명에 따른 네트워크 침입 탐지 방법은, 네트워크 침입 탐지 시스템에 의해 수행되는 네트워크 침입 탐지 방법에 있어서, 특징 선택과 데이터 균형을 통한 심층 신경망 기반의 네트워크 침입 탐지 모델을 구성하는 단계; 상기 구성된 네트워크 침입 탐지 모델에 네트워크 침입 탐지를 위한 테스트 데이터를 입력받는 단계; 및 상기 네트워크 침입 탐지 모델을 이용하여 상기 네트워크 침입 탐지를 위한 상기 테스트 데이터에 대한 네트워크 침입을 탐지하는 단계를 포함할 수 있다.