http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Woraphon Lilakiatsakun (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Computer Network Security Based On Support Vector Machine Approach
Preecha Somwang,Woraphon Lilakiatsakun 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
At present, incidents of computer networks attack are significantly increasing therefore the effective Intrusion Detection Systems (IDS) are essential for information systems security. In order for the IDS to be effective, they have the capability of detecting new arrival attacks. Additionally, the correct detection rate should also be at high level whereas the low false positive detection rate is preferred. This paper proposes the new intrusion detection technique by using hybrid methods of unsupervised/supervised learning scheme. The proposed technique integrates the Principal Component Analysis (PCA) with the Support Vector Machine (SVM). The PCA is applied to reduce high dimensional data vectors and distance between vectors including its projection onto the subspace. SVM is then used to classify different groups of data, Normal and Anomalous. The results show that the proposed technique can improve the performance of anomaly intrusion detection, the intrusion detection rate and generate fewer false alarms.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
