전자무역의 베이지안 네트워크 개선방안에 관한 연구

• 영문명: A Study on the Improvement of Bayesian networks in e-Trade
• 발행기관: 한국통상정보학회
• 저자명: 정분도(Boon-Do Jeong)
• 간행물 정보: 『통상정보연구』제9권 제3호, 1~16쪽, 전체 16쪽
• 주제분류: 사회과학 > 무역학
• 파일형태: PDF
• 발행일자: 2007.09.30

영문 초록

With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/ authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

목차

Ⅰ. 서론

Ⅱ. 전자무역 베이지안 네트워크

Ⅲ. 전자무역 호스트 기반

Ⅳ. 전자무역 TCP/IP 패킷

Ⅴ. 연구요약 및 결론

참고문헌

Abstract

키워드

e-Trade Bayesian networks ERP FTP