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关于密码猜测任务的系统综述。

A Systematic Review on Password Guessing Tasks.

作者信息

Yu Wei, Yin Qingsong, Yin Hao, Xiao Wei, Chang Tao, He Liangliang, Ni Lulin, Ji Qingbing

机构信息

The 30th Research Institute of China Electronics Technology Group Corporation, Chuangye Road, Chengdu 610093, China.

Unit 95835 of PLA, Urumqi 841700, China.

出版信息

Entropy (Basel). 2023 Sep 7;25(9):1303. doi: 10.3390/e25091303.

Abstract

Recently, many password guessing algorithms have been proposed, seriously threatening cyber security. In this paper, we systematically review over thirty methods for password guessing published between 2016 and 2023. First, we introduce a taxonomy for classifying the existing methods into trawling guessing and targeted guessing. Second, we present an extensive benchmark dataset that can assist researchers and practitioners in successive works. Third, we conduct a bibliometric analysis to present trends in this field and cross-citation between reviewed papers. Further, we discuss the open challenges of password guessing in terms of diverse application scenarios, guessing efficiency, and the combination of traditional and deep learning methods. Finally, this review presents future research directions to guide successive research and development of password guessing.

摘要

最近,许多密码猜测算法被提出,严重威胁着网络安全。在本文中,我们系统地回顾了2016年至2023年间发表的三十多种密码猜测方法。首先,我们引入一种分类法,将现有方法分为遍历猜测和目标猜测。其次,我们提供了一个广泛的基准数据集,可帮助研究人员和从业人员开展后续工作。第三,我们进行文献计量分析,以呈现该领域的趋势以及被审查论文之间的交叉引用情况。此外,我们从不同的应用场景、猜测效率以及传统方法与深度学习方法的结合等方面讨论了密码猜测面临的开放挑战。最后,本综述提出了未来的研究方向,以指导密码猜测的后续研究与开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a81/10528539/1ffb782e0adb/entropy-25-01303-g001.jpg

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