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Improved Kerberos Security Protocol Evaluation using Modified BAN Logic

Authors: Nabih T. Abdelmajid; M. Alamgir Hossain; S. Shepherd; Khaled W. Mahmoud;

Improved Kerberos Security Protocol Evaluation using Modified BAN Logic

Abstract

Online communication offers organizations greater efficiency. However, online processes increase the threat level during message transfer. This necessitates researchers to develop and improve security protocols in order to enhance the security of communication lines. There are many evaluation tools such as BAN Logic to evaluate how secure authentication protocols' messages are. Despite the evaluation and acceptance of many authentication protocols, online communications remain insecure. We propose three approaches in order to increase the authenticity level; firstly, we propose to add the user's physical location as a new authentication factor into Kerberos protocol and call it N-Kerberos protocol. Secondly, we propose a new BAN logic based evaluation tool (N-BAN) to evaluate the N-Kerberos protocol. Finally, we validate the new form of Kerberos (N-Kerberos) using the new form of BAN (N-BAN) logic.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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