Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks

Authors

DOI:

https://doi.org/10.4108/eai.3-12-2015.2262465

Keywords:

aggression/distrust, public key certificate chain, attacker, ad-hoc networks

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.

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Published

24-05-2016

How to Cite

Zhang, H. ., Memarmoshrefi, P. ., Ashrafi, F. ., & Hogrefe, D. . (2016). Investigating the Learning Phase of an Autonomous Authentication in Mobile Ad-hoc Networks. EAI Endorsed Transactions on Security and Safety, 3(9), e5. https://doi.org/10.4108/eai.3-12-2015.2262465

Issue

Vol. 3 No. 9 (2016): EAI Endorsed Transactions on Security and Safety

Section

Research article

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Copyright (c) 2022 EAI Endorsed Transactions on Security and Safety

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This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

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