Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC) | Zendy

Ajit Kumar Santra | Zendy; S Nagarajan | Zendy; V. N. Jinesh | Zendy

Open Access

Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC)

Author(s) -

Ajit Kumar Santra,

S Nagarajan,

V. N. Jinesh

Publication year - 2012

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/4809-7002

Subject(s) - computer science , intrusion detection system , context (archaeology) , artificial neural network , access control , fuzzy logic , computer network , control (management) , wireless network , computer security , intrusion prevention system , wireless , artificial intelligence , data mining , distributed computing , telecommunications , paleontology , biology

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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