Analysis of Nai-Wei and Alexander Authentication Protocol Using AVISPA

The BLE-Based Authentication Protocol is a mutual authentication protocol between user entities represented by a Wearable Device (WD), a Wearable Payment Counter (WP counter), and a server or trusted third party, designed by Nai-Wei and Alexander in 2020. The BLE Authentication protocol is intended to ensure authentication in Bluetooth-based micro-payment systems. According to Nai-Wei and Alexander, the BLE-Based Authentication Protocol is resistant to eavesdropping, replay attacks, man-in-the-middle attacks, and impersonation attacks. The proposed protocol claims to meet mutual authentication and backward/forward secrecy. These claims are based on analysis using the adversary model method. The protocol will be formally analyzed using AVISPA to ensure the security claims made by the BLE-Based Authentication Protocol. In this study, the validity of Nai-Wei and Alexander's claims was verified using AVISPA. The verification was conducted using the back-ends CL-AtSe and OFMC, which are capable of modelling algebraic operations in the protocol. The analysis results provided by CL-AtSe and OFMC revealed the presence of a man-in-the-middle attack. This attack is possible due to the lack of encryption and authentication factors in the message packet transmission between the WD and WP Counter. This study proposes an improved protocol scheme to address the vulnerability by adding the use of digital signatures in message packet transmissions. The improved scheme was also verified for security using AVISPA with the OFMC back-end. The verification results indicate that the improved scheme is secure against attack.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icimcis63449.2024.10956762
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Nai-Wei and Alexander Authentication Protocol Using AVISPA

Yeni Farida, Sepha Siswantyo, Nia Yulianti, Andre Irawani
Advanced Authentication Protocols Security
article

Analysis of Nai-Wei and Alexander Authentication Protocol Using AVISPA

Yeni Farida, Sepha Siswantyo, Nia Yulianti, Andre Irawani
article en

Abstract

The BLE-Based Authentication Protocol is a mutual authentication protocol between user entities represented by a Wearable Device (WD), a Wearable Payment Counter (WP counter), and a server or trusted third party, designed by Nai-Wei and Alexander in 2020. The BLE Authentication protocol is intended to ensure authentication in Bluetooth-based micro-payment systems. According to Nai-Wei and Alexander, the BLE-Based Authentication Protocol is resistant to eavesdropping, replay attacks, man-in-the-middle attacks, and impersonation attacks. The proposed protocol claims to meet mutual authentication and backward/forward secrecy. These claims are based on analysis using the adversary model method. The protocol will be formally analyzed using AVISPA to ensure the security claims made by the BLE-Based Authentication Protocol. In this study, the validity of Nai-Wei and Alexander's claims was verified using AVISPA. The verification was conducted using the back-ends CL-AtSe and OFMC, which are capable of modelling algebraic operations in the protocol. The analysis results provided by CL-AtSe and OFMC revealed the presence of a man-in-the-middle attack. This attack is possible due to the lack of encryption and authentication factors in the message packet transmission between the WD and WP Counter. This study proposes an improved protocol scheme to address the vulnerability by adding the use of digital signatures in message packet transmissions. The improved scheme was also verified for security using AVISPA with the OFMC back-end. The verification results indicate that the improved scheme is secure against attack.

Jakarta State Polytechnic (ID), Politeknik Siber Cerdika Internasional
Openalex Percentile: Top 65%
Advanced Authentication Protocols Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.