Identification of malicious nodes in MANET based on Node grouping
Abstract & Details
Research Area
Electronics and communication engineering
Keywords
Ad-hoc networks
Cluster Head
Data Verification Request
malicious node
Abstract
In this paper, malicious node identification method against false notification attacks in MANETs using node grouping is proposed. In this method, the network formation occurs and many clusters are formed. Based on the highest delivery factor, the cluster head is formed through which the data transmission takes place from source node to the destination node. AODV protocol is used for routing. This does not have any detection mechanism, but the node can get the required route only on the demand. The source gets all route information concerning the nodes on the route. In the proposed methods, only the cluster head is involved in transmission, resulting in reduced delay, reduced communication traffic volume and increased packet delivery ratio.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Aishwarya. S | Prince Shri Venkateswara Padmavathy Engineering College |
| 2 | Mahalakshmi. J | Prince Shri Venkateswara Padmavathy Engineering College |
| 3 | Ashok. P | Prince Shri Venkateswara Padmavathy Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Aishwarya., J, Mahalakshmi., & P, Ashok. (2017). Identification of malicious nodes in MANET based on Node grouping. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 2545-2549.
MLA Style
S, Aishwarya., et al. "Identification of malicious nodes in MANET based on Node grouping." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 2545-2549.
IEEE Style
Aishwarya. S, Mahalakshmi. J, and Ashok. P, "Identification of malicious nodes in MANET based on Node grouping," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 2545-2549, 2017.
Vancouver Style
S Aishwarya., J Mahalakshmi., P Ashok.. Identification of malicious nodes in MANET based on Node grouping. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):2545-2549.
Harvard Style
S, Aishwarya., J, Mahalakshmi., & P, Ashok. (2017) 'Identification of malicious nodes in MANET based on Node grouping', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 2545-2549.
Chicago Style
S, Aishwarya., Mahalakshmi. J, and Ashok. P. "Identification of malicious nodes in MANET based on Node grouping." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2545-2549.
Turabian Style
S, Aishwarya., Mahalakshmi. J, and Ashok. P. "Identification of malicious nodes in MANET based on Node grouping." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2545-2549.
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