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Scirj, Volume VIII [2020]
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Scirj Volume VIII, Issue IV, April 2020 Edition
ISSN: 2201-2796

A Study on Mouse Movement Features to Identify User

Masud Karim , Md. Hasanuzzaman

Abstract: Identifying real user is a vital issue in information security. Various processes are using to identify user like password, punch card, PIN etc which identify some characters of a user but not the real user. Biometric identification techniques can identify real user like face decoction, finger print, iris technology etc but these are cost effective and not user friendly due to requirements of extra devices and systems. For this reason, researchers are giving emphasis on mouse movement based user identification technique. This technique solves current problems of real user identification and need no extra device. In this technique features are generated from mouse movement data and based on these features users are identified. Different researchers are proposing different types of features for identifying user from mouse movement data. Selecting and calculating these features is very important issue for this technique. In this paper we have shown such features collectively those are using by different researchers. We have tried to categorized and describe such features in different types with accuracy. Recommendation is mentioned in this paper for further using of mouse movement features.

Reference this Paper: A Study on Mouse Movement Features to Identify User by Masud Karim , Md. Hasanuzzaman published at: "Scientific Research Journal (Scirj), Volume VIII, Issue IV, April 2020 Edition, Page 77-82 ".

Search Terms: user identification, authentication, classification, mouse movement features, machine learning

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