Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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CSTNWS1K25L
Kalpana Jain
Rajdeep S. Shaktawat
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.
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): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
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): 228
Total Views (Real + Logic): 7805
Total Downloads (simulated): 2108
Publish Date: 2015 11, Sat
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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.
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