CAJ | 학술논문

传统的Web服务物流数据库安全访问控制采用身份认证、密码等方式，对于普通的数据库非法访问具有一定的防范作用，但对于高伪装性的非法访问防护效果很差。提出一种DCE融合粒子群评价指导的Web物流数据库安全访问方法，采用DCE方法对访问者的身份做初步认证，在此基础上，通过粒子群算法，对访问者输入的验证信息进行处理，与实际数据库中存储的信息进行比对，最终识别非法访问。采用一组伪装的非法访问进行测试，结果显示，采用基于DCE融合粒子群评价指导的方法，系统的非法访问识别率提高了19%，具有很好的应用价值。
전통적Web복무물류수거고안전방문공제채용신빈인증、밀마등방식，대우보통적수거고비법방문구유일정적방범작용，단대우고위장성적비법방문방호효과흔차。제출일충DCE융합입자군평개지도적Web물류수거고안전방문방법，채용DCE방법대방문자적신빈주초보인증，재차기출상，통과입자군산법，대방문자수입적험증신식진행처리，여실제수거고중존저적신식진행비대，최종식별비법방문。채용일조위장적비법방문진행측시，결과현시，채용기우DCE융합입자군평개지도적방법，계통적비법방문식별솔제고료19%，구유흔호적응용개치。
In traditional Web services logistics database security access control method, the authentication, password, etc. methods were used, and it had some effect to prevent unauthorized access to a certain role, but for high-camouflaged illegal access, the protection effect was poor. So the logistics database security access of web service with evaluation guidance of DCE fusion PSO was proposed, the DCE identity of visitors was used firstly to do the initial certification, on this basis, through the particle swarm algorithm, the authentication information was processed, and it was compared with the actual in-formation stored in the database, then the final identification of illegal access was allowed. A group of disguised illegal ac-cess was sued to do the test experiment, and the result shows that with evaluation guidance of DCE fusion PSO, the illegal access recognition rate increases by 19%, it has good application value.