2018
DOI: 10.1080/02564602.2018.1520152
|View full text |Cite
|
Sign up to set email alerts
|

An Attack on Hollow CAPTCHA Using Accurate Filling and Nonredundant Merging

Abstract: As one of the effective access control mechanism, CAPTCHA can provide privacy protection and multimedia security for big data. In this paper, an attack on hollow CAPTCHA using accurate filling and nonredundant merging is proposed. Firstly, a thinning operation is introduced to repair character contour precisely. Secondly, an inner-outer contour filling algorithm is presented to acquire solid characters, which only fills the hollow character components rather than noise blocks. Thirdly, the segmentation to the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 17 publications
0
5
0
Order By: Relevance
“…In this experiment, we compare our method against four state-of-the-art attacks [12], [29], [30], and [31] on QQ CAPTCHA and BotDetect CAPTCHA. From TABLE 5, for QQ CAPTCHA, the attacks in [12], [29], [30], and [31] achieve success rates of 89.0%, 56.0%, 91.0%, and 94.0% respectively. For BotDetect CAPTCHA, the attacks in [12], [29], and [30] achieve success rates of 64.0%, 53.0%, and 75.5% respectively.…”
Section: ) Results Of Different Attack Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this experiment, we compare our method against four state-of-the-art attacks [12], [29], [30], and [31] on QQ CAPTCHA and BotDetect CAPTCHA. From TABLE 5, for QQ CAPTCHA, the attacks in [12], [29], [30], and [31] achieve success rates of 89.0%, 56.0%, 91.0%, and 94.0% respectively. For BotDetect CAPTCHA, the attacks in [12], [29], and [30] achieve success rates of 64.0%, 53.0%, and 75.5% respectively.…”
Section: ) Results Of Different Attack Methodsmentioning
confidence: 99%
“…From TABLE 5, for QQ CAPTCHA, the attacks in [12], [29], [30], and [31] achieve success rates of 89.0%, 56.0%, 91.0%, and 94.0% respectively. For BotDetect CAPTCHA, the attacks in [12], [29], and [30] achieve success rates of 64.0%, 53.0%, and 75.5% respectively. For QQ CAPTCHA and BotDetect CAPTCHA, our method achieves a success rate of 95.4% and 84.7% respectively and boosts the success rate by 1.4%-39.4%.…”
Section: ) Results Of Different Attack Methodsmentioning
confidence: 99%
“…Chen et al [42] in their work proposed an attack on hollow CAPTCHA with the aid of merging and accurate-filling. The work which can be categorized as CAPTCHA recognition proposes a framework that supports individual character components through character segmentation that aids classification.…”
Section: Issn: 2088-8708 mentioning
confidence: 99%
“…The intuition behind the Partial Credit Algorithm (PCA) is that a user-computer interaction is more important than right-or-wrong and user's response contains much more than one bit of information [10]. As many text-based schemes have been cracked, hollow CAPTCHAs and 3D CAPTCHAs emerged and have been deployed by large companies [8,22,23]. 3D CAPTCHAs rely on novel segmentation resistance by combining a crowding-character-together strategy and side surfaces of 3D visual effect.…”
Section: Related Workmentioning
confidence: 99%
“…Claptcha-like CAPTCHAs are widely adopted for Internet service authentications by many profit or non-profit institutions such as Delta Airline and MITBBS. Since the proprietary CAPTCHA schemes were used by well-known companies such as Google and Yahoo, these types of CAPTCHA schemes have drawn more attentions in the security community and many existing CAPTCHA solvers aim to crack these proprietary CAPTCHA schemes [7,8]. It also results in that the proprietary CAPTCHA schemes add more techniques to increase their security.…”
Section: Introductionmentioning
confidence: 99%