CAJ | 학술논문

传统的木马检测方法难以适应目前木马病毒的更新速度和数量的增速。本文通过对传统检测手段分析，提出了一种改进后的木马检测技术方案，并设计了关键的数据处理中间层对数据在网络规模上进行并行处理，实现了系统的高效能，高稳定性运行。借鉴先进的云计算解决方案，设计实现了新的木马检测系统平台，为了充分提高整个系统的可扩展性，对服务端和客户端的功能模块进行了严格的划分。实验结果证明，云计算技术对木马检测具有很高的效率，该系统可以便捷地解决目前木马检测所遇到的问题。
전통적목마검측방법난이괄응목전목마병독적경신속도화수량적증속。본문통과대전통검측수단분석，제출료일충개진후적목마검측기술방안，병설계료관건적수거처리중간층대수거재망락규모상진행병행처리，실현료계통적고효능，고은정성운행。차감선진적운계산해결방안，설계실현료신적목마검측계통평태，위료충분제고정개계통적가확전성，대복무단화객호단적공능모괴진행료엄격적화분。실험결과증명，운계산기술대목마검측구유흔고적효솔，해계통가이편첩지해결목전목마검측소우도적문제。
It is difficult to detect Trojan virus with the traditional Trojan detection methods because of the current update rate and the number growth of that. This paper payed attention to the analysis through the traditional means of detection, and putted forward the technical solutions to improve the traditional Trojan detection technology, and then designed a critical middle layer of data processing to process in parallel so that the system achieved a high-performance and high stability characteristics. This paper achieved a new Trojan detection system platform learning from the advanced cloud calculation solutions. While, for improving the efficiency of the whole system, this paper divided the function modules of the server and the client. Experimental results showed that the cloud computing technology had high efficiency of Trojan detection, and this system could solve the problems encountered in the Trojan detection conveniently.