An efficient anonymous communication protocol for wireless sensor networks

2011 ◽  
Vol 12 (14) ◽  
pp. 1302-1312 ◽  
Author(s):  
Juan Chen ◽  
Xiaojiang Du ◽  
Binxing Fang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Protocol ◽  
Wireless Sensor ◽  
Anonymous Communication

Design of Tungsten Tailing Reservoir Safety Monitoring and Warning System Based on Wireless Sensor Networks and LabVIEW

2013 ◽  
Vol 427-429 ◽  
pp. 1268-1271
Author(s):  
Xue Wen He ◽  
Ying Fei Sheng ◽  
Kuan Gang Fan ◽  
Le Ping Zheng ◽  
Qing Mei Cao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Communication Protocol ◽  
Warning System ◽  
Safety Monitoring ◽  
Wireless Sensor ◽  
Serial Port ◽  
Rf Transceiver ◽  
New Type

In view of the existing flaws of traditional manual observations, a new type of tailing reservoir safety monitoring and warning system based on ZigBee and LabVIEW was designed. The system chose SoC chip CC2530 as the RF transceiver and designed the low-power wireless sensor networks nodes to collect and process the data of tailing reservoir. It chose ZigBee 2007 as the network communication protocol, and uploaded the data to PC by RS232 serial port. The monitoring and warning interface of PC was completed with LabVIEW. The testing results show that the data transmission of the network is stable and the system is suitable for real-time monitoring and warning of the tungsten tailing reservoir.

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.

Security and Attacks in Wireless Sensor Networks

2011 ◽  
pp. 183-216 ◽  
Author(s):  
Murat Al ◽  
Kenji Yoshigoe
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Security ◽  
Communication Protocol ◽  
Research Community ◽  
Wireless Sensor ◽  
General View ◽  
Wireless Technologies ◽  
Close Relationship

Understanding data security is crucial to the daily operation of Wireless Sensor Networks (WSNs) as well as to the further advancement of security solutions in the research community. Unlike many surveys in literature that handle the topic in close relationship to a particular communication protocol, we provide a general view of vulnerabilities, attacks, and countermeasures in WSNs, enabling a broader audience to benefit from the presented material. We compare salient characteristics and applications of common wireless technologies to those of WSNs. As the main focus of the chapter, we thoroughly describe the characteristics of attacks and their countermeasures in WSNs. In addition, we qualitatively illustrate the multi-dimensional relationship among various properties including the effectiveness of these attacks (i.e., caused damage), the resources needed by adversaries to accomplish their intended attacks (i.e., consumed energy and time), and the resources required to defend against these attacks (i.e., energy overhead).

Security Threats in Wireless Sensor Networks

2017 ◽  
pp. 307-325
Author(s):  
Alekha Kumar Mishra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Communication Protocol ◽  
Base Station ◽  
Security Requirements ◽  
Wireless Sensor ◽  
Security Threats ◽  
Protocol Stack ◽  
Counter Measures

Most of the applications of wireless sensor networks have critical tasks to be fulfilled; thus they must be secured. Recent studies focus on securing the communication between sensors and with the base station. An adversary can launch various types of attack on WSN depending on its ability and objective. These attacks can be broadly classified into two categories: 1) layer-dependent, and 2) layer-independent. Layer-dependent attacks are specific to communication protocol layers. They mostly target a node's functionality such as routing, availability, time synchronization, and data aggregation. Layer-independent attacks are not restricted to any communication protocol layers. These attacks can be launched independent of the communication protocol stack. In this chapter, we study the various attacks possessed by WSN and classify them based on their strength, action, security requirements and impact at different layers of WSN. We define metrics to evaluate the characteristic, behavior, and dependency of these attacks followed a discussion on various counter-measures to defend them.

Alleviating Reactive Bit Jamming in Wireless Sensor Networks

2014 ◽  
Vol 687-691 ◽  
pp. 3679-3685
Author(s):  
Jian Wang ◽  
Xiao Ming Hu ◽  
Yin Chun Yang ◽  
Xiu Mei Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Protocol ◽  
Transmission Efficiency ◽  
Wireless Sensor ◽  
Protocol Stack ◽  
Jamming Attacks ◽  
Frame Size ◽  
Reed Solomon Code ◽  
Redundancy Level

Wireless sensor networks are widely deployed and thus are suffering increasing threats such as reactive bit jamming attacks. Such jamming can be alleviated by coded transmissions. This paper derives an optimal redundancy level required for Reed-Solomon code based transmissions and unveils the monotonic characteristic of coded transmission efficiency with respect to frame size, jamming strength, as well as communication protocol stack overhead.

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