scholarly journals Efficient and Reliable Routing With Cloud Based Source-Location Privacy Protection in Wireless Sensor Networks

2021 ◽  
Vol 8 (6) ◽  
pp. 730
Author(s):  
R. Nagarajan ◽  
G. Maria Priscilla
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Privacy Protection ◽  
Location Privacy ◽  
Source Location ◽  
Wireless Sensor ◽  
Reliable Routing ◽  
Source Location Privacy ◽  
Location Privacy Protection

scholarly journals Achieving Source Location Privacy Protection in Monitoring Wireless Sensor Networks through Proxy Node Routing

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1037 ◽  
Author(s):  
Lilian Mutalemwa ◽  
Seokjoo Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Location Privacy ◽  
Source Location ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sink Node ◽  
Source Location Privacy ◽  
Node Routing ◽  
Location Privacy Protection

Achieving high source location privacy is critical when Wireless Sensor Networks (WSNs) are used in sensitive applications such as in asset or battlefield monitoring. Due to the sensitivity of information in these applications, it is important to ensure the flow of data between sensor nodes is secure and it does not expose any information about the monitored assets to an adversary. This paper proposes a routing scheme with stronger source location privacy than the privacy of traditional routing schemes. The paper addresses some limitations of four existing schemes by providing highly random routing paths between the source nodes and sink node. The scheme randomly sends packet to the sink node through tactically positioned proxy nodes to guarantee the routes are highly befuddling to the adversary. To achieve high privacy, the proposed scheme uses a randomizing factor to generate a new random route for every successive packet. Simulation results demonstrate that the proposed scheme provides longer safety period and stronger privacy to outperform other schemes. Furthermore the scheme provides stronger privacy against both, patient and cautious adversary models.

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