Experimental Evaluation of Source Location Privacy Routing Schemes and Energy Consumption Performance

2019 ◽  
Author(s):  
Lilian C. Mutalemwa ◽  
Junhee Seok ◽  
Seokjoo Shin
Keyword(s):  
Energy Consumption ◽  
Experimental Evaluation ◽  
Location Privacy ◽  
Source Location ◽  
Routing Schemes ◽  
Source Location Privacy

scholarly journals C2S2-LOOP: Circular Chessboard-Based Secure Source Location Privacy Model Using ECC-ALO in WSN

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Naveed Jan ◽  
Sarmadullah Khan ◽  
Ali H. Al-Bayatti ◽  
Madini O. Alassafi ◽  
Ahmed S. Alfakeeh ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Network Topology ◽  
Location Privacy ◽  
High Energy ◽  
Source Location ◽  
Source Node ◽  
Key Generation ◽  
Source Location Privacy ◽  
Privacy Model ◽  
Safety Period

Source location privacy (SLP) is a serious issue in wireless sensor networks (WSN) since Eavesdroppers tries to determine the source location. Hunting Animals in Forest is considered as an example for SLP. Many conventional schemes have been proposed for SLP in WSN, namely, Random Walk Routing, and Fake Messages Transmission, which cause critical issues (less safety period, packet delivery latency, and high energy consumption). Furthermore, the security analysis is not properly investigated in any previous work. In this paper, we propose a new model called the circular chessboard-based secure source location privacy model (C2S2-LOOP) with the following tasks: key generation, network topology management (clustering), intercluster routing (travel plan), and data packets encryption. All sensor nodes are deployed in a circular chessboard (Circular Field) and the key generation ( P U K , S E K ) is invoked using elliptic curve cryptography (ECC) with Ant Lion Optimization algorithm, which mitigate the issues of conventional ECC. Then, the network topology is managed using clustering where residual energy of the nodes is used for Cluster Head (CH) selection. Intercluster routing is implemented using packet traversing using clockwise and anticlockwise directions, which are mainly concerned with establishing a secure route between the source to the destination node. To ensure data security, we present the Chaotic Artificial Neural Network (C-ANN) in which encryption is executed. Assume that CH near to the source node has a high trust value, then it traverses (clock-wise) real packets towards sink node and similarly in the left side region (anticlockwise), fake packets are transmitted. Network simulations (OMNeT++) are evaluated and compared with the previous approaches, and finally, our proposed scheme concludes that it maintains not only source node location privacy (large safety period) and also reduces energy consumption by more than 40% and latency by more than 35%.

A source location privacy protection scheme based on ring-loop routing for the IoT

2019 ◽  
Vol 148 ◽  
pp. 142-150 ◽  
Author(s):  
Hao Wang ◽  
Guangjie Han ◽  
Lina Zhou ◽  
James Adu Ansere ◽  
Wenbo Zhang
Keyword(s):  
Privacy Protection ◽  
Location Privacy ◽  
Source Location ◽  
Protection Scheme ◽  
Source Location Privacy ◽  
Location Privacy Protection
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