Abstract: Presently, the security of information significantly becomes an important issue for all users over the Internet. Since a single password is insufficient to protect attack from attackers as proved by various researchers, various biometrics have been applied as new alternatives for classifying and identifying users. Keystroke dynamics is a behavioral biometrics with individual characteristic pattern of each person. This unique pattern might be the result from typing skill. In addition, a research had proved that the eye vision can be counted as a biometric which can identify an individual person with higher accuracy when combining with keystroke dynamics. Nevertheless, the character’s position on the keyboard has been analyzed in this research that it is a factor of time differences based keystroke dynamics and eye vision mechanisms. Therefore, this research has objective to propose that the vision speed and the location of the typing character should be integrated in the authentication

• Publication Date: 05-Jan-2014
• DOI: 10.15224/978-981-07-8859-9-03
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Abstract: Simulation of cloud computing systems remains to be a challenge due to the high number of issues that hamper this task. Basically, the main issue for achieving simulations of cloud systems is two-fold. First, the enormous amount of time required to execute those simulations. Second, the large amounts of memory required for simulating the high number of elements that constitute the model. In most cases, those systems contain thousands of computing nodes, tens of storage nodes, communication networks, and communication switches, whereof the algorithms required for modelling and simulating all those elements require huge amounts of CPU power. In this paper we present a complementation for INET, a framework used for modelling and simulating networks in cloud systems models.

• Publication Date: 05-Jan-2014
• DOI: 10.15224/978-981-07-8859-9-04
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