Research Article
Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks
@ARTICLE{10.4108/eai.3-12-2015.2262465, author={Hang Zhang and Parisa Memarmoshrefi and Fatemeh Ashrafi and Dieter Hogrefe}, title={Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks}, journal={EAI Endorsed Transactions on Security and Safety}, volume={3}, number={9}, publisher={ACM}, journal_a={SESA}, year={2016}, month={5}, keywords={aggression/distrust, public key certificate chain, attacker, ad-hoc networks}, doi={10.4108/eai.3-12-2015.2262465} }- Hang Zhang
Parisa Memarmoshrefi
Fatemeh Ashrafi
Dieter Hogrefe
Year: 2016
Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks
SESA
EAI
DOI: 10.4108/eai.3-12-2015.2262465
Abstract
In this work we focus on investigating the learning phase of an autonomous authentication mechanism. Through a series of simulation, an experimental best cutoff point and the aggression threshold values for different network size were calculated. In the test phase, those found values are proved by the average good accuracy.
Copyright © 2015 H. Zhang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
