AN Efficiently Detect and Filter False Data Injected Using Quantum Cryptography in Wireless Sensor Networks
| International Journal of Communication and Media Science |
| © 2015 by SSRG - IJCMS Journal |
| Volume 2 Issue 2 |
| Year of Publication : 2015 |
| Authors : B.Pratheepa and M.Praveen Umar |
10.14445/2349641X/IJCMS-V2I2P105
How to Cite?
B.Pratheepa and M.Praveen Umar, "AN Efficiently Detect and Filter False Data Injected Using Quantum Cryptography in Wireless Sensor Networks," SSRG International Journal of Communication and Media Science, vol. 2, no. 2, pp. 1-4, 2015. Crossref, https://doi.org/10.14445/2349641X/IJCMS-V2I2P105
Abstract:
Security is the key term which revolves around every user’s Confidentiality and Privacy on web. It is mainly achieved through passwords and conventional login systems.The literature survey clearly shows that the existing systems results in severe issues due to poor remembrance, reusability, weak passwords, hacking. This turns out to be a great problem for users having number of accounts either using same or distinct passwords for each. Considering the current mechanisms, authenticating users via passwords is not a comprehensive solution.In this paper, we design a human verifiable authentication protocol named Duoswhich combines user’s handheld device and message service to thwart password stealing or reuse. The goal of this protocol is to prevent users from typing their memorized passwords into kiosks.. Users only need to remember a Long-Term Password (LTPWD) for login on all websites. We believe this to be efficient and affordable compared with the conventional web authentication mechanisms
Keywords:
Domino Effect, Human verifiable, Long Term Password, Password Stealing attacks.
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