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Cryptanalysis and Security Improvements of ‘Two-Factor User Authentication in Wireless Sensor Networks’

Open access
Khan, Muhammad Khurram, Alghathbar, Khaled·2010·Sensors

Abstract

User authentication in wireless sensor networks (WSN) is a critical security issue due to their unattended and hostile deployment in the field. Since sensor nodes are equipped with limited computing power, storage, and communication modules; authenticating remote users in such resource-constrained environments is a paramount security concern. Recently, M.L. Das proposed a two-factor user authentication scheme in WSNs and claimed that his scheme is secure against different kinds of attack. However, in this paper, we show that the M.L. Das-scheme has some critical security pitfalls and cannot be recommended for real applications. We point out that in his scheme: users cannot change/update their passwords, it does not provide mutual authentication between gateway node and sensor node, and is vulnerable to gateway node bypassing attack and privileged-insider attack. To overcome the inherent security weaknesses of the M.L. Das-scheme, we propose improvements and security patches that attempt to fix the susceptibilities of his scheme. The proposed security improvements can be incorporated in the M.L. Das-scheme for achieving a more secure and robust two-factor user authentication in WSNs.

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Metadata

Authors
Khan, M. K., & Alghathbar, K.
Venue
Sensors
Publisher
MDPI AG
Published
2010-03-23
Volume
10
Issue
3
Pages
2450-2459
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2116392345
Cited by
400
References
0
FWCI
28.03
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Cryptanalysis and Security Improvements of ‘Two-Factor User Authentication in Wireless Sensor Networks’. https://app.cochat.ai/papers/10.3390/s100302450
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Khan, M. K., & Alghathbar, K. (2010). Cryptanalysis and Security Improvements of ‘Two-Factor User Authentication in Wireless Sensor Networks’. Sensors. https://doi.org/10.3390/s100302450

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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