Tarag Fahad
On detecting packets droppers in MANET: A novel low cost approach
Fahad, Tarag; Djenouri, Djamel; Askwith, Robert
Authors
Abstract
One of the commonest threats that mobile ad hoc networks are vulnerable to is data packet dropping, which is caused either by malicious or selfish nodes. Most of the existing solutions to solve such misbehaviour rely on the watchdog technique, which suffers from many drawbacks, particularly when using the power control technique. To overcome this problem with a moderate communication overhead, this paper introduces a new approach for detecting misbehaving nodes that drop data packets in MANET. It consists of two stages the monitoring stage in which each node monitors its direct neighbours with respect to forwarding data packets of a traffic session in the network, and the decision stage, in which direct neighbouring nodes decide whether the monitored node misbehave or not. Our new approach is able to detect the misbehaviour in case of power control employment, with a low communication overhead compared to the existing approaches.
Citation
Fahad, T., Djenouri, D., & Askwith, R. (2007). On detecting packets droppers in MANET: A novel low cost approach. https://doi.org/10.1109/ias.2007.47
Conference Name | Third International Symposium on Information Assurance and Security |
---|---|
Conference Location | Manchester, UK |
Start Date | Aug 29, 2007 |
End Date | Aug 31, 2007 |
Online Publication Date | Sep 10, 2007 |
Publication Date | Sep 10, 2007 |
Deposit Date | Feb 21, 2020 |
Pages | 56-61 |
ISBN | 0769528767 |
DOI | https://doi.org/10.1109/ias.2007.47 |
Public URL | https://uwe-repository.worktribe.com/output/5465559 |
You might also like
Knowledge guided deep learning for general-purpose computer vision applications
(2023)
Conference Proceeding
Deep learning for estimating sleeping sensor’s values in sustainable IoT applications
(2022)
Conference Proceeding
Hybrid RESNET and regional convolution neural network for accident estimation
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search