scholarly journals An Enhanced Source Location Privacy based on Data Dissemination in Wireless Sensor Networks (DeLP)

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2050 ◽  
Author(s):  
Naveed Jan ◽  
Ali Al-Bayatti ◽  
Naseer Alalwan ◽  
Ahmed Alzahrani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Location Privacy ◽  
Source Location ◽  
Base Station ◽  
Source Node ◽  
Wireless Sensor ◽  
Packet Delivery ◽  
Safety Period

Wireless Sensor Network is a network of large number of nodes with limited power and computational capabilities. It has the potential of event monitoring in unattended locations where there is a chance of unauthorized access. The work that is presented here identifies and addresses the problem of eavesdropping in the exposed environment of the sensor network, which makes it easy for the adversary to trace the packets to find the originator source node, hence compromising the contextual privacy. Our scheme provides an enhanced three-level security system for source location privacy. The base station is at the center of square grid of four quadrants and it is surrounded by a ring of flooding nodes, which act as a first step in confusing the adversary. The fake node is deployed in the opposite quadrant of actual source and start reporting base station. The selection of phantom node using our algorithm in another quadrant provides the third level of confusion. The results show that Dissemination in Wireless Sensor Networks (DeLP) has reduced the energy utilization by 50% percent, increased the safety period by 26%, while providing a six times more packet delivery ratio along with a further 15% decrease in the packet delivery delay as compared to the tree-based scheme. It also provides 334% more safety period than the phantom routing, while it lags behind in other parameters due to the simplicity of phantom scheme. This work illustrates the privacy protection of the source node and the designed procedure may be useful in designing more robust algorithms for location privacy.

scholarly journals Strategic Location-Based Random Routing for Source Location Privacy in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2291 ◽  
Author(s):  
Lilian Mutalemwa ◽  
Seokjoo Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Location Privacy ◽  
Source Location ◽  
Source Node ◽  
Wireless Sensor ◽  
Source Location Privacy ◽  
Node Location ◽  
Asset Monitoring ◽  
Selection Of

Wireless sensor networks (WSNs) are deployed in sensitive applications, such as in military and asset monitoring. In these applications, it is important to ensure good source location privacy. This is owing to the open nature of WSNs and the easiness of an adversary to eavesdrop on sensor communication and back trace the location of the source node. This paper proposes a scheme to preserve the source location privacy based on random routing techniques. To achieve high privacy, packets are randomly routed from the source to the sink node through strategically positioned mediate or diversion nodes. The random selection of mediate or diversion nodes is location-based. Depending on the location of the source node, packets are forwarded through different regions of the network. The proposed scheme guarantees that successive packets are routed through very different routing paths and adversaries find it confusing to back trace them to the source node location. Simulation results demonstrate that the proposed scheme effectively confuses the adversary and provides higher source location privacy to outperform other routing-based source location privacy schemes.

scholarly journals Node Location Privacy Protection in Unattended Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
ZhiGang Zhou ◽  
Yu Wang ◽  
PanPan Li ◽  
XinGong Chang ◽  
JiWei Luo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Privacy Protection ◽  
Location Privacy ◽  
Base Station ◽  
Source Node ◽  
Wireless Sensor ◽  
Hop Count ◽  
Node Location ◽  
Location Privacy Protection

Node location protection is critical to the wireless sensor networks (WSN), especially for unattended environment. However, due to most of the static deployment and the limitations in energy, storage, and communication capabilities of the sensors, WSNs are vulnerable to various location (and derivative) attacks. In this work, we study the node location privacy protection issue from both aspects of attacks and defenses. First, we present a new two-phase location attack for two important types of nodes (including base station and source node). It can locate a base station node within few amounts of local wireless transmission monitoring and then reversely trace the location of the source node. Different from existing methods, the proposed attack determines the node location based on the transmission direction, which can break through existing defenses. Then, to defend against such attacks, we design a pseudospiral-based routing protocol for WSN. We analyze the performance of parameters such as routing probability, maximum detectable angle, hop count, and number of loops based on PU SBRF, MoRF, and PLAUDIT methods. The theory analysis and confrontation experiment of attack and defense show that the proposed scheme can protect the location privacy of the target node with moderate communication and computation overhead.

A Source-Location Privacy Preservation Protocol in Wireless Sensor Networks Using Source-Based Restricted Flooding

2010 ◽  
Vol 33 (9) ◽  
pp. 1736-1747 ◽  
Author(s):  
Juan CHEN ◽  
Bin-Xing FANG ◽  
Li-Hua YIN ◽  
Shen SU
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Privacy Preservation ◽  
Location Privacy ◽  
Source Location ◽  
Wireless Sensor ◽  
Source Location Privacy

scholarly journals Searching Algorithm of Dormant Node in Wireless Sensor Networks

2017 ◽  
Vol 13 (05) ◽  
pp. 122 ◽  
Author(s):  
Bo Feng ◽  
Wei Tang ◽  
Guofa Guo
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Sensor Network ◽  
Delaunay Triangulation ◽  
Base Station ◽  
Wireless Sensor ◽  
Effective Mechanism ◽  
Dormant State ◽  
Important Nodes

In wireless sensor networks, the nodes around the base station have higher energy consumption due to the forwarding task of all the detected data. In order to balance the energy consumption of the nodes around the base station, a reasonable and effective mechanism of node rotation dormancy is put forward. In this way, a large number of redundant nodes in the network are in a dormant state, so as to reduce the load of important nodes around the base station. The problems of the redundant nodes in the sensor network are analyzed, and a new method is proposed to distinguish the redundant nodes based on local Delaunay triangulation and multi node election dormancy mechanism. The experimental results showed that this method could effectively distinguish the redundant nodes in the network; at the same time, through the multi round election mechanism, parts of redundant nodes are made dormant. In summary, they can reduce the network energy consumption on the condition of guaranteeing the original coverage.

Load-conscious maximization of base-station location privacy in wireless sensor networks

2017 ◽  
Vol 124 ◽  
pp. 126-139 ◽  
Author(s):  
Nikolaos Baroutis ◽  
Mohamed Younis
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Location Privacy ◽  
Base Station ◽  
Wireless Sensor ◽  
Base Station Location ◽  
Station Location

scholarly journals An Efficient Anonymous Communication Scheme to Protect the Privacy of the Source Node Location in the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Fengyin Li ◽  
Pei Ren ◽  
Guoyu Yang ◽  
Yuhong Sun ◽  
Yilei Wang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Location Privacy ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Source Node ◽  
Wireless Sensor ◽  
Anonymous Communication ◽  
Privacy Leakage ◽  
Communication Scheme

Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. As an important part of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in military, transportation, medical, and household fields. However, in the applications of wireless sensor networks, the adversary can infer the location of a source node and an event by backtracking attacks and traffic analysis. The location privacy leakage of a source node has become one of the most urgent problems to be solved in wireless sensor networks. To solve the problem of source location privacy leakage, in this paper, we first propose a proxy source node selection mechanism by constructing the candidate region. Secondly, based on the residual energy of the node, we propose a shortest routing algorithm to achieve better forwarding efficiency. Finally, by combining the proposed proxy source node selection mechanism with the proposed shortest routing algorithm based on the residual energy, we further propose a new, anonymous communication scheme. Meanwhile, the performance analysis indicates that the anonymous communication scheme can effectively protect the location privacy of the source nodes and reduce the network overhead.

scholarly journals A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Hongchun Qu ◽  
Libiao Lei ◽  
Xiaoming Tang ◽  
Ping Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Detection Method ◽  
Base Station ◽  
Simulation Software ◽  
Wireless Sensor ◽  
Sensor Monitoring

For resource-constrained wireless sensor networks (WSNs), designing a lightweight intrusion detection technology has been a hot and difficult issue. In this paper, we proposed a lightweight intrusion detection method that was able to directly map the network status into sensor monitoring data received by base station, so that base station can sense the abnormal changes in the network. Our method is highlighted by the fusion of fuzzy c-means algorithm, one-class SVM, and sliding window procedure to effectively differentiate network attacks from abnormal data. Finally, the proposed method was tested on the wireless sensor network simulation software EXata and in real applications. The results showed that the intrusion detection method in this paper could effectively identify whether the abnormal data came from a network attack or just a noise. In addition, extra energy consumption can be avoided in all sensor monitoring nodes of the sensor network where our method has been deployed.

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