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

Duo Wang, Chongwen Wang*, Xiaotian Long

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvanced Computing - 11th International Conference, IACC 2021
EditorsDeepak Garg, Sarangapani Jagannathan, Ankur Gupta, Lalit Garg, Suneet Gupta
PublisherSpringer Science and Business Media Deutschland GmbH
Pages448-462
Number of pages15
ISBN (Print)9783030955014
DOIs
Publication statusPublished - 2022
Event11th International Advanced Computing Conference, IACC 2021 - Msida, Malta
Duration: 18 Dec 202119 Dec 2021

Publication series

NameCommunications in Computer and Information Science
Volume1528 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference11th International Advanced Computing Conference, IACC 2021
Country/TerritoryMalta
CityMsida
Period18/12/2119/12/21

Keywords

  • Network security
  • Verification code

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