A user identification system using signature written with mouse

Syukri, Agus Fanar; Okamoto, Eiji; Mambo, Masahiro

doi:10.1007/bfb0053751

Cited by 80 publications

(50 citation statements)

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“…A signature using a mouse approach for an authentication user was conducted [11]. The advantage of using a mouse to draw a signature is that the signatures are hard to fake.…”

Section: Related Workmentioning

confidence: 99%

The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification

Al-Showarah¹

2017

Int. J. Interact. Mob. Technol.

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Abstract-This paper presents methodology for user identification on smartphone and mini-tablet using finger based gestures. In this paper, a set of four features, namely Signature Precision (SP), Finger Pressure (FP), Movement Time (MT), and Speed were extracted from each gesture of eight using dynamic time warping and Euclidean distance. The features are then used individually and combined for the purpose of user identification based on the Euclidean distance and the k-nearest neighbour classifier. We concluded that the best identification accuracy results from the combinations of FP and MT features where 78.46% and 78.33% were achieved on small smartphone and Minitablet respectively using a dataset of 50 users.

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“…A signature using a mouse approach for an authentication user was conducted [11]. The advantage of using a mouse to draw a signature is that the signatures are hard to fake.…”

Section: Related Workmentioning

confidence: 99%

The Effectiveness of Dynamic Features of Finger Based Gestures on Smartphones’ Touchscreens for User Identification

Al-Showarah¹

2017

Int. J. Interact. Mob. Technol.

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“…This graphical method combines Story and DAS method to deliver authenticity to the user. Syukri [21] proposed a methods where authentication is done by sketch user signature using a mouse.This technique involved two phases, verification and registration. At the time of registration phase the user draws his signature with the help of mouse, afterward that the system extracts the signature zone.…”

Section: Related Workmentioning

confidence: 99%

Graphical Gauze Authentication

Ghaytadak¹,

P.R²

2017

International Journal of Advanced Research in Computer and Comm

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Currently predictable secret word patterns are susceptible to dictionary attacks, eves dropping and shoulder surfing, numerous shoulder surfing unaffected graphical password patterns proposed. On the other hand, Textual passwords are the utmost public technique used for authentication. There are several graphical password schemes that are planned in the past years. A maximum users are used word-based passwords than untainted graphical passwords, word-based or character based graphical password schemes have been proposed. Regrettably, none of existing schemes are create a graphical gauze to resisting the impersonation. In this paper, we propose an improved mainly text-based or character based shoulder surfing resistant and other attacks like eves dropping, dictionary attacks, and social engineering resistant graphical gauze by using colors. In the projected scheme, the operator can strongly, simply and professionally login system and examine the security and usability of the planned system and show the resistance of the proposed scheme to unintended login.

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“…Syukri [4] developed a technique where authentication is done by drawing user signature using a mouse. This technique included two stages, registration and verification.…”

Section: IImentioning

confidence: 99%

“…But with session password you can"t find the ratings of colors. Even by knowing session password, the complexity is 8 [4]. So these are resistant to shoulder surfing.…”

Section: Security Analysismentioning

confidence: 99%