Keystroke Dynamics: A Met Heuristic Approach
نویسندگان
چکیده
منابع مشابه
Keystroke dynamics
This article is an introduction to keystroke dynamics. Keystroke dynamics is a biometric which is based on assumption that people type in uniquely characteristic manners. Keystroke dynamics is mainly used for verification, but also identification is possible. Also commercial products exist. Additionally, keystroke dynamics can be used to eavesdrop secure communications by guessing what was writ...
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As time goes, the global access to information and recourses is becoming a routine and a necessity in our daily lives. Unfortunately this great increase in global accessibility brings great chances of intrusions and great attacks. In an effort to handle these new threats, automated identification techniques are now being sought. In this paper, a hybrid keystroke authentication dynamics is propo...
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The majority of computer systems employ a login ID and password as the principal method for access security. In stand-alone situations, this level of security may be adequate, but when computers are connected to the internet, the vulnerability to a security breach is increased. In order to reduce vulnerability to attack, biometric solutions have been employed. In this paper, we investigate the ...
متن کاملKeystroke Dynamics Authentication
Everybody needs to authenticate himself on his computer before using it, or even before using different applications (email, e-commerce, intranet, . . . ). Most of the times, the adopted authentication procedure is the use of a classical couple of login and password. In order to be efficient and secure, the user must adopt a strict management of its credentials (regular changing of the password...
متن کاملFeature Fusion Approach on Keystroke Dynamics Efficiency Enhancement
In this paper we study the performance and effect of diverse keystroke feature combinations on keystroke dynamics authentication system by using fusion approach. First of all, four types of keystroke features are acquired from our collected dataset, later then transformed into similarity scores by using Gaussian Probability Density Function (GPD) and Direction Similarity Measure (DSM). Next, th...
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ژورنال
عنوان ژورنال: International Journal of Soft Computing
سال: 2012
ISSN: 1816-9503
DOI: 10.3923/ijscomp.2012.169.180