Normal view MARC view ISBD view

An enhancement of text-based CAPTCHA Algorithm using splitting and rotating applied in web security / Marianne Rose P. Yu. 6

By: Marianne Rose P. Yu. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; March 2019.46Edition: Description: 28 cm. 66 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: ABSTRACT: Nowadays internet is used by many people for multiple activities. Communication, e - commerce, education and entertainment used in websites are among these activities. However, these websites are resource of website hence reduces space, performance and efficiency of servers. One solution to this problem is to use an algorithm that can differentiate human being from a computer robot. Completely Automated Public Turing Test or CAPTCHA is designed to make patterns easy for people, but not for computers or robots. However, with the recent trends in technologies, OCR software arise. This kind of advanced technologies can easily solve CAPTCHA. Hence this study is focused on enhancing the Text-Based CAPTCHA Algorithm using Splitting and Rotating applied Web Security. By applying Reservoir Sampling Algorithm, Euclidean Distance Formula and Fisher-Yates Shuffle Algorithm, the font style generated by each character and background image of the CAPTCHA will be distinct to one another, and the answer to the CAPTCHA Challenger will have a shuffled arrangement from 1 to 6. Using these three methodologies, it is presented that the OCR can be confused which results to the misidentified and misrecognized characters. Other editions:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes
Comments ( 0 )

Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T QA76.9.C36.2019 (Browse shelf)	Available		FT7088

Total holds: 0

Browsing PLM Shelves , Shelving location: Filipiniana Section , Collection code: Filipiniana-Thesis Close shelf browser

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	T QA76.9.B87 2024 An Enhancement of P. Yildirim and D. Birant's K-linkage method applied to dendrograms.	T QA76.9.C36.2017 An Enhancement of Backpropagation Algorithm Applied to Intelligent Personal Assistant Development Platform /	T QA76.9.C36.2018 An enhancement of mespotine run-length encoding applied in columnar databases in a big data environment /	T QA76.9.C36.2019 An enhancement of text-based CAPTCHA Algorithm using splitting and rotating applied in web security /	T QA76.9.C37.2016 An enhancement od diamond-square algorithm applied in 3D terrain generation game /	T QA76.9.C37.2017 An enhancement of a path-findinb algorithm applied in maze solver /	T QA76.9.C37.2019 Mobile application for hospital tracking using A* Algorithm /	Next

Thesis: (Bachelor of Science in Computer Studies major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2019. 56

ABSTRACT: Nowadays internet is used by many people for multiple activities. Communication, e - commerce, education and entertainment used in websites are among these activities. However, these websites are resource of website hence reduces space, performance and efficiency of servers. One solution to this problem is to use an algorithm that can differentiate human being from a computer robot. Completely Automated Public Turing Test or CAPTCHA is designed to make patterns easy for people, but not for computers or robots. However, with the recent trends in technologies, OCR software arise. This kind of advanced technologies can easily solve CAPTCHA. Hence this study is focused on enhancing the Text-Based CAPTCHA Algorithm using Splitting and Rotating applied Web Security. By applying Reservoir Sampling Algorithm, Euclidean Distance Formula and Fisher-Yates Shuffle Algorithm, the font style generated by each character and background image of the CAPTCHA will be distinct to one another, and the answer to the CAPTCHA Challenger will have a shuffled arrangement from 1 to 6. Using these three methodologies, it is presented that the OCR can be confused which results to the misidentified and misrecognized characters.

There are no comments for this item.

to post a comment.