An enhancement of passface algorithm for computer application's graphical password authentication / Marrion Yuri A.Verdida, and Mark Daniel J. Villena. 6

By: Verdida, Marrion Yuri A. and Villena, Mark Daniel J. 4 0 16, [, ] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 201846Edition: Description: 28 cm. 386 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: Passface Algorithm is a Recognition-based Graphical Password algorithm that was developed by Brostoff that uses human face as password. Passface is a unique strong authentication technology that works with the existing security systems access. It is based on the mind's capacity to recognize faces, an ability that has evolved in all of us over million of years. It is easy to implement and easy to use, making it attractive to end users. People might not be able to associate a name with face, but the brain can recognize a face for months, or even years after the first encounter. Upon studying the Passface algorithm, the researchers found three (3) problems. First, the passface are selected by mouse which makes it very easy for the shoulder surfer attacker to observe the password. Second, the user's preferences make it easy for the Guessing attacker to identify the user's passface. Third, the Passface algorithm is non-resistance to brute force attacks due to limited password space. To solve those problems, the researchers proposed solutions. First, to prevent shoulder surfing attacks by implementing recognition-based graphical password technique based on the false image. Second, to avoid attackers from guessing passfaces by blurring (low-spatial frequency) the passface during the login process. Lastly, to prevent brute force attacks by dividing passface into 4 image portions. In order to prove those solutions, the researchers conducted surveys and present supporting documents. The enhanced Passface algorithm was proven to solve the three problem that was encountered. In the enhanced algorithm, the password space is larger because of the application of the falsification, the passface is being selected keyboard which made it harder for the shoulder-surfer attack, and the passfaces are already blurred to do so that the attackers will have a hard time guessing the passface. Other editions:
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Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2018. 56

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ABSTRACT: Passface Algorithm is a Recognition-based Graphical Password algorithm that was developed by Brostoff that uses human face as password. Passface is a unique strong authentication technology that works with the existing security systems access. It is based on the mind's capacity to recognize faces, an ability that has evolved in all of us over million of years. It is easy to implement and easy to use, making it attractive to end users. People might not be able to associate a name with face, but the brain can recognize a face for months, or even years after the first encounter. Upon studying the Passface algorithm, the researchers found three (3) problems. First, the passface are selected by mouse which makes it very easy for the shoulder surfer attacker to observe the password. Second, the user's preferences make it easy for the Guessing attacker to identify the user's passface. Third, the Passface algorithm is non-resistance to brute force attacks due to limited password space. To solve those problems, the researchers proposed solutions. First, to prevent shoulder surfing attacks by implementing recognition-based graphical password technique based on the false image. Second, to avoid attackers from guessing passfaces by blurring (low-spatial frequency) the passface during the login process. Lastly, to prevent brute force attacks by dividing passface into 4 image portions. In order to prove those solutions, the researchers conducted surveys and present supporting documents. The enhanced Passface algorithm was proven to solve the three problem that was encountered. In the enhanced algorithm, the password space is larger because of the application of the falsification, the passface is being selected keyboard which made it harder for the shoulder-surfer attack, and the passfaces are already blurred to do so that the attackers will have a hard time guessing the passface.

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