Identity Mapping Scheme with CBDS Approach to Secure MANET

Identity Mapping Scheme with CBDS Approach to Secure MANET

Rajdeep S. Shaktawat

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Gaurav Jain

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Kalpana Jain

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Maharana Pratap University of Agriculture and Technology

Identity Mapping Scheme with CBDS Approach to Secure MANET

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Abstract

A MANET is considered as self administrating network in which nodes are free to come and join to communicate with various nodes. A network which has a lot of advantages for its characteristics also has disadvantage of being attacked by some malicious node. Since MANET requires that each node should posses a unique, distinct identity, Sybil attack is one of the major threat to MANET. A Sybil attack is in which a node can have different physical identity to weak the distributed MANET system. In this paper, we propose a identity mapping scheme which is implemented with the collaborative bait detection scheme for securing MANET against Sybil attack, black hole attack and gray hole attack. Approach is merged with the CBDS approach for making system more secure against various attacks. Proposed scheme is simulated on NS2 and compared with the Sybil detection scheme on various performance metrics.

References

10 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rajdeep S. Shaktawat. 2015. \u201cIdentity Mapping Scheme with CBDS Approach to Secure MANET\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E7).

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GJCST Volume 15 Issue E7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Submission ReceivedFebruary 13, 2015
Peer Review Double Blind
Handling Editor
Accepted March 1, 2015
Published March 15, 2015

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v1.2

Issue date

November 14, 2015

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Gaurav Jain, Kalpana Jain, Rajdeep S. Shaktawat (PhD/Dr. count: 0)

View Count (all-time): 266

Total Views (Real + Logic): 7871

Total Downloads (simulated): 2087

Publish Date: 2015 11, Sat

Monthly Totals (Real + Logic):

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Total Views: 7871

Total Downloads: 2087

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