scholarly journals A Replica Detection Scheme Based on the Deviation in Distance Traveled Sliding Window for Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Alekha Kumar Mishra ◽  
Asis Kumar Tripathy ◽  
Arun Kumar ◽  
Ashok Kumar Turuk
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sliding Window ◽  
Distributed Detection ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Detection Scheme ◽  
Time Distance ◽  
Replica Detection ◽  
Detection Schemes

Node replication attack possesses a high level of threat in wireless sensor networks (WSNs) and it is severe when the sensors are mobile. A limited number of replica detection schemes in mobile WSNs (MWSNs) have been reported till date, where most of them are centralized in nature. The centralized detection schemes use time-location claims and the base station (BS) is solely responsible for detecting replica. Therefore, these schemes are prone to single point of failure. There is also additional communication overhead associated with sending time-location claims to the BS. A distributed detection mechanism is always a preferred solution to the above kind of problems due to significantly lower communication overhead than their counterparts. In this paper, we propose a distributed replica detection scheme for MWSNs. In this scheme, the deviation in the distance traveled by a node and its replica is recorded by the observer nodes. Every node is an observer node for some nodes in the network. Observers are responsible for maintaining a sliding window of recent time-distance broadcast of the nodes. A replica is detected by an observer based on the degree of violation computed from the deviations recorded using the time-distance sliding window. The analysis and simulation results show that the proposed scheme is able to achieve higher detection probability compared to distributed replica detection schemes such as Efficient Distributed Detection (EDD) and Multi-Time-Location Storage and Diffusion (MTLSD).

scholarly journals Aspect-Aware Target Detection and Localization by Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2810 ◽  
Author(s):  
Li Hu ◽  
Shilian Wang ◽  
Eryang Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Detection ◽  
Target Location ◽  
Likelihood Estimation ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Ratio Test ◽  
Detection Scheme ◽  
Counting Rule

This paper considers the active detection of a stealth target with aspect dependent reflection (e.g., submarine, aircraft, etc.) using wireless sensor networks (WSNs). When the target is detected, its localization is also of interest. Due to stringent bandwidth and energy constraints, sensor observations are quantized into few-bit data individually and then transmitted to a fusion center (FC), where a generalized likelihood ratio test (GLRT) detector is employed to achieve target detection and maximum likelihood estimation of the target location simultaneously. In this context, we first develop a GLRT detector using one-bit quantized data which is shown to outperform the typical counting rule and the detection scheme based on the scan statistic. We further propose a GLRT detector based on adaptive multi-bit quantization, where the sensor observations are more precisely quantized, and the quantized data can be efficiently transmitted to the FC. The Cramer-Rao lower bound (CRLB) of the estimate of target location is also derived for the GLRT detector. The simulation results show that the proposed GLRT detector with adaptive 2-bit quantization achieves much better performance than the GLRT based on one-bit quantization, at the cost of only a minor increase in communication overhead.

Research on Selective Forwarding Attack Detection Scheme in Wireless Sensor Networks

2012 ◽  
Vol 433-440 ◽  
pp. 5298-5302
Author(s):  
Ying Wang ◽  
Guo Rui Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Detection Scheme ◽  
Selective Forwarding ◽  
Critical Facilities ◽  
Mission Critical ◽  
Detection Schemes ◽  
Lower False Alarm Rate

Selective forwarding attacks in wireless sensor networks may corrupt some mission critical applications such as military surveillance and critical facilities monitoring. They are very difficult to be detected and distinguished from normal packet drops in wireless sensor networks. We propose an improved sequential mesh test based detection scheme in this paper. The scheme extracts a small quantity of samples to run the test, instead of regulating the total times of test in advance. We show through experiments that our scheme can provide higher detection accurate rate and lower false alarm rate than the existing detection schemes. Meanwhile, less communication and computation power are required to detect the selective forwarding attacks.

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