Strengthening Graphical Passwords through User Mouse Movements
Abdul Manan Ahmad, and Abdul Hanan Abdullah, and Mawardah Wazali, (2004) Strengthening Graphical Passwords through User Mouse Movements. In: Proceedings of the Joint Conference on Informatics and Research on Women in ICT (RWICT) 2004, 28 - 30 July 2004, Putra World Trade Center, Kuala Lumpur, Malaysia .
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Speech Recognition Group, FSKSM UTM
User authentication is a vital element in ensuring the secure operations of IT systems. In the vast majority of cases, this role is fulfilled by the passwords, but evidence suggests that this approach is easily compromised Researchers are working on new approach to technology: the passwords. Researchers are developing various graphical alternatives to the traditional text passwords. Graphical approaches are more intuitive and offer more potential password than text-based systems. Besides, they are harder to crack and make it more difficult for users to pcit easily guessed passwords. However, researchers have not proven that graphical systems are more secure. Authentication by mouse movements tries to replace the traditional initial login password method It uses mouse patterns created by the user as the identification method for^ that person. Neural network with back propagation algorithm will be used^ to identify the mouse patterns. This paper presents technique and mechanism that used to make the graphical systems more secure.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Authentication, Mouse Movement, Acceleration Neural Network|
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