Back to Search
Start Over
An Efficient Authentication Scheme Based on Deployment Knowledge Against Mobile Sink Replication Attack in UWSNs
- Source :
- IEEE Internet of Things Journal. 6:9738-9747
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Unattended wireless sensor networks (UWSNs) are vulnerable to mobile sink (MS) replication attack. In this attack, using the compromised key information, an attacker can collect data from networks by impersonating sinks. To resist such an attack, some schemes have been proposed. To improve the resilience of MS replication attack of these schemes, we can integrate them with schemes based on deployment knowledge. However, there are the following defects: 1) the probability of mutual authentication between a MS and a sensor node is less than 1 and 2) during the authentication phase, the energy consumption of sensor nodes increases significantly as the deployment area expands. In this paper, we construct 3-D backward key chains based on deployment knowledge and propose a new authentication scheme based on these. As compared with these existing related schemes, the detailed theory analysis and simulation results indicate that the scheme can ensure that a MS can be authenticated by sensor nodes, and can improve the resilience of networks’ MS replication attack with low energy consumption.
- Subjects :
- 020203 distributed computing
Authentication
Computer Networks and Communications
business.industry
Computer science
Data_MISCELLANEOUS
020206 networking & telecommunications
02 engineering and technology
Energy consumption
Mutual authentication
Replication (computing)
Computer Science Applications
Hardware and Architecture
Sensor node
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
business
Resilience (network)
Wireless sensor network
Information Systems
Computer network
Subjects
Details
- ISSN :
- 23722541
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Internet of Things Journal
- Accession number :
- edsair.doi...........8909336a77f9cbfd5dfcb563e51e1a04
- Full Text :
- https://doi.org/10.1109/jiot.2019.2930823