With the development of computer network technology, more closely the relationship between people and network.The current network security problem has also been gradually into the public's field of vision, actively carried out on the network intrusion detection becomes an important direction of the development of the network security technology.On the basis of the original BP neural network, this paper puts forward an improved algorithm, and applied to network intrusion detection. After the test, the method is better than traditional convergence, better performance.
목차
Abstract 1. Introduction 2. Related Works 2.1 The BP Neural Network 2.2 The Improved BP Neural Network Algorithm 2.3 Intrusion Detection Technology 3. The Intrusion Detection Model Based on Improved BP Algorithm 3.1 Data Acquisition Module 3.2 Data Preprocessing Module 3.3 Rule Base Module 3.4 Testing Analysis Module 4. The Experiment Results Analysis 5. Conclusion References
키워드
Intrusion detectionThe BP neural networkNetwork security
저자
Zhu YuanZhong [ Electrical and Information Engineering Department of Beijing Polytechnic College Beijing China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.5