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Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 39 - Number 4 |
| Year of Publication: 2012 |
| Authors: A. K. Santra, Nagarajan S., Jinesh V. N. |
10.5120/4809-7002
|
A. K. Santra, Nagarajan S., Jinesh V. N. . Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC). International Journal of Computer Applications. 39, 4 ( February 2012), 23-31. DOI=10.5120/4809-7002
Abstract
This paper Proposes a Dynamic Context Aware Role Based Access Control Security Service Which Provides Multi-Level Authentications and Authorization. This model help the building of Secure Devices efficiently .This security service in a Dynamic Environment uses Fuzzy Logic theory And the DCARBAC to change the Privileges. The System uses the Attribute Values in the DCARBAC to Calculate the Type of Role which in turn is associated with the level of Permission And Security. This helps in Extending the present functionality. This Model’s aim is to improve the flexibility of the Security Services in a Heterogeneous Wireless Network.
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