A secured green computing technique for sustainable information technology using fuzzy classified finger vein biometrics Online publication date: Wed, 10-Oct-2018
by P. Rose Bindu Joseph; D. Ezhilmaran
World Review of Science, Technology and Sustainable Development (WRSTSD), Vol. 14, No. 4, 2018
Abstract: Realisation of the diverse advantages of green computing will lead to restructuring internet technology firms for incorporating sustainability. Green computing aims to design, manufacture and dispose of computing technologies and devices without much of impact on environment. Cloud computing is a green computing technology with the concept of sharing services over a network for maximising the effectiveness of resources. These resources are shared by multiple users all over the world, thus maximising the computing power and reducing environmental damages with less usage of energy, less carbon emissions and reduced e-waste. Hosting on the cloud is more environment friendly and it results in less of a carbon footprint. Inadequate authentication in cloud facilities can cause security threats and data stealing. Biometric authentication is a promising solution which provides safer user authentication for cloud services. Finger vein recognition is a competent biometrics possessing a superior level of security and stronger robustness against spoofing than other biometrics of modern era. In this paper, a fuzzy set theory-based image classification is proposed for finger vein images for securing cloud services against unauthorised access. Performance of the proposed method is evaluated in terms of recall and precision rates.
Online publication date: Wed, 10-Oct-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the World Review of Science, Technology and Sustainable Development (WRSTSD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.If you still need assistance, please email email@example.com