CAJ | 학술논문

由于网络安全数据量庞大和愈加复杂的网络入侵方式，传统的网络安全产品的攻击预测方法已变得不再适用。通过对网络流量日志的研究，提出了采用多模态可视化展示结构和快速异构树查询算法的实时网络流量日志可视化方法，开发并设计了大规模网络攻击预测可视分析系统Monic。结果表明，利用该系统通过交互分析能有效识别攻击者行为，预测网络攻击。
유우망락안전수거량방대화유가복잡적망락입침방식，전통적망락안전산품적공격예측방법이변득불재괄용。통과대망락류량일지적연구，제출료채용다모태가시화전시결구화쾌속이구수사순산법적실시망락류량일지가시화방법，개발병설계료대규모망락공격예측가시분석계통Monic。결과표명，이용해계통통과교호분석능유효식별공격자행위，예측망락공격。
Traditional methods depends security products to prediction attack are no longer applied due to the large scale of network security data because the network intrusion mode become more and more Huge and complex. Through the studied of netflow data,a new method to real-time visual analysis netflow log with multi-modal display structure and heterogeneous tree netflow data organization structure was pro-posed and a visual analysis system of prediction attack for large-scale network named Monic is designed and researched. The ability of system to recognize attacker behavior and prediction network attack use this system through interaction analysis were indicated by results.