Title
Lightweight and Physically Secure Anonymous Mutual Authentication Protocol for Real-Time Data Access in Industrial Wireless Sensor Networks
Abstract
Industrial Wireless Sensor Network (IWSN) is an emerging class of a generalized Wireless Sensor Network (WSN) having constraints of energy consumption, coverage, connectivity, and security. However, security and privacy is one of the major challenges in IWSN as the nodes are connected to Internet and usually located in an unattended environment with minimum human interventions. In IWSN, there is a fundamental requirement for a user to access the real-time information directly from the designated sensor nodes. This task demands to have a user authentication protocol. To satisfy this requirement, this article proposes a lightweight and privacy-preserving mutual user authentication protocol in which only the user with a trusted device has the right to access the IWSN. Therefore, in the proposed scheme, we considered the physical layer security of the sensor nodes. We show that the proposed scheme ensures security even if a sensor node is captured by an adversary. The proposed protocol uses the lightweight cryptographic primitives, such as one way cryptographic hash function, Physically Unclonable Function (PUF) and bitwise exclusive (XOR) operations. Security and performance analysis shows that the proposed scheme is secure, and is efficient for the resource-constrained sensing devices in IWSN.
Year
DOI
Venue
2019
10.1109/tii.2019.2895030
IEEE Transactions on Industrial Informatics
Keywords
Field
DocType
Wireless sensor networks,Protocols,Authentication,Logic gates,Real-time systems,Sensors
Sensor node,Mutual authentication,Authentication,Computer science,Cryptographic hash function,Computer network,Cryptographic primitive,Real-time computing,Authentication protocol,Physical unclonable function,Wireless sensor network
Journal
Volume
Issue
ISSN
15
9
1551-3203
Citations 
PageRank 
References 
5
0.39
0
Authors
4
Name
Order
Citations
PageRank
Gope, P.11089.02
Ashok Kumar Das22250122.93
Neeraj Kumar32889236.13
Yongqiang Cheng413329.99