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作 者:张清忠[1] ZHANG Qing-zhong(School of Information and Electronic Engineering, Liming Vocational University, Quanzhou 362000, Chin)
机构地区:[1]黎明职业大学信息与电子工程学院,福建泉州362000
出 处:《西安文理学院学报(自然科学版)》2018年第2期84-87,共4页Journal of Xi’an University(Natural Science Edition)
基 金:福建省教育厅中青年教师教育科研项目(JAS14853);黎明职业大学科研团队建设资助项目(LMTD2014104)
摘 要:密码恢复技术是密码分析的一个分支,密码恢复在计算机取证等方面起到了关键作用,其发展受到了越来越多的关注.暴力破解(brute force)是密码恢复采用的主要方法,其主要思想是穷举密码空间,遍历该空间直到找到密码.但是由于密码强度的增加,密码空间越来越大,这为密码恢复造成了很大的困难.因此,为了提高密码恢复的效率,构建了一个基于云计算的密码恢复系统模型,采用了Hadoop计算模型,将巨大的密码空间分成若干小的密码空间.将该密码恢复系统实现后,对其进行性能评估.实验结果显示本文的模型能够大大减少密码恢复的时间,提高密码恢复的效率.Password recovery technology is a branch of cipher analysis, password recovery plays a key role in computer forensics, and its development has received more and more attention. Brute force is the main method of password recovery. The main idea is to exhaustion the password space, traverse the space until the password is found. However, the cipher space is becoming larger and larger because of the increase of the password strength, which has caused great difficulties for the password recovery. Therefore, in order to improve the efficiency of password recovery, a password recovery system based on cloud computing is built in this paper, and the Hadoop computing model is used to divide the huge cryptographic space into several small cryptographic spaces. After the implementation of the password recovery system, the performanee of the system is evaluated. The experimental structure shows that this model can greatly reduce the time of password recovery and improve the efficiency of password recovery.
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
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