Research on the Detection and Recognition Algorithm of Click Chinese Character Verification Code

Duo Wang, Chongwen Wang*, Xiaotian Long

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Network security has always been a hot topic of people’s attention. In recent years, click Chinese character verification codes have been used by major Chinese websites to prevent malicious attacks and malicious batch operations. How effective this verification code is and whether it will be cracked at a low cost is a worthy of discussion and research question. In response to this problem, this paper proposes a two-step cracking method of detection and classification. Using the more commonly used detection and classification networks, combined with some targeted changes, achieved an 83.33% cracking success rate on the test set at a relatively low cost, and made a partial answer to this question.

源语言英语
主期刊名Advanced Computing - 11th International Conference, IACC 2021
编辑Deepak Garg, Sarangapani Jagannathan, Ankur Gupta, Lalit Garg, Suneet Gupta
出版商Springer Science and Business Media Deutschland GmbH
448-462
页数15
ISBN(印刷版)9783030955014
DOI
出版状态已出版 - 2022
活动11th International Advanced Computing Conference, IACC 2021 - Msida, 马耳他
期限: 18 12月 202119 12月 2021

出版系列

姓名Communications in Computer and Information Science
1528 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议11th International Advanced Computing Conference, IACC 2021
国家/地区马耳他
Msida
时期18/12/2119/12/21

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