scholarly journals Analytical framework for adaptive compressive sensing for target detection within wireless visual sensor networks

2017 ◽  
Vol 77 (13) ◽  
pp. 16533-16559 ◽  
Author(s):  
Salema Fayed ◽  
Sherin M. Youssef ◽  
Amr El-Helw ◽  
Mohammad Patwary ◽  
Mansour Moniri
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Target Detection ◽  
Analytical Framework ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks

scholarly journals Adaptive compressive sensing for target tracking within wireless visual sensor networks-based surveillance applications

2015 ◽  
Vol 75 (11) ◽  
pp. 6347-6371 ◽  
Author(s):  
Salema Fayed ◽  
Sherin M.Youssef ◽  
Amr El-Helw ◽  
Mohammad Patwary ◽  
Mansour Moniri
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Target Tracking ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
Surveillance Applications

Energy Efficiency and Reliability Considerations of a Compressive Sensing Technique in Wireless Visual Sensor Networks

2011 ◽  
pp. 21-39
Author(s):  
Yinhao Ding ◽  
Cheng-Chew Lim
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Visual Sensor ◽  
Haar Wavelet Transform ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
The Difference ◽  
Block Based ◽  
Efficiency And Reliability

This chapter focuses on the energy efficiency and reliability issues when applying the novel compressive sensing technique in wireless visual sensor networks. An explanation is given for why compressive sensing is useful for visual sensor networks. The relationships between sparsity control and compression ratio, the effect of block-based sampling on reconstruction quality, complexity consideration of reconstruction process for real-time applications, and compensation for packets missing in network flows are discussed. We analyse the effectiveness of using the 2-dimensional Haar wavelet transform for sparsity control, the difference between compressive sampling in spatial and frequency domains, and the computation of the prime-dual optimisation method and the log barrier algorithm for reconstruction. The effectiveness of the approach on recovered image quality is evaluated using Euclidean distance and variance analysis.

scholarly journals Designing an Image Encryption Scheme Based on Compressive Sensing and Non-Uniform Quantization for Wireless Visual Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3081 ◽  
Author(s):  
Qian Shen ◽  
Wenbo Liu ◽  
Yi Lin ◽  
Yongjun Zhu
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Logistic Map ◽  
Image Data ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Noise Interference ◽  
Uniform Quantization ◽  
Encryption Schemes ◽  
Wireless Visual Sensor Networks

Wireless visual sensor networks (WVSN) have been widely used to capture images in the fields of monitoring, intelligent transportation, and reconnaissance in recent years. Because of the wireless transmission mode and the huge amount of image data, major challenges in this application are frequent information stealing, big data problems, and harsh communication circumstances. Some encryption schemes based on compressive sensing (CS) and chaotic systems have been proposed to cope with these threats, but most of them are vulnerable against the chosen-plaintext attack (CPA). To remedy these defects, this paper designs a novel method based on non-uniform quantization (NQ). Then, in order to evaluate the true compression ratio (CR), our work takes into account limited data precision in cipher images, while most papers ignored this fact and calculated CR with the assumption of infinite data precision. Besides, to eliminate the periodic windows in the bifurcation diagram of the logistic map (LM), an optimized logistic map (OLM) is designed. Furthermore, simulation results prove that the performance of anti-jamming in the proposed cryptosystem is better than that in existing schemes under the condition of strong noise interference or severe data loss. In conclusion, the proposed method could improve the performance of security and anti-jamming for WVSN.

scholarly journals An Improved Image Steganography Scheme Based on Partial Preservation Embedding Algorithm for Wireless Visual Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qian Shen ◽  
Tao Jiang ◽  
Yongjun Zhu ◽  
Yin Wu
Keyword(s):  
Sensor Networks ◽  
Frequency Band ◽  
Poor Performance ◽  
Least Significant Bit ◽  
Medium Frequency ◽  
Visual Sensor ◽  
Secret Data ◽  
Visual Sensor Networks ◽  
Noise Interference ◽  
Wireless Visual Sensor Networks

With the continuous improvement of encryption algorithms, some applications based on the architecture of wireless visual sensor networks have gradually shifted their attention to the imperceptibility and antijamming performance of secret images. To reduce the probability of secret images being detected, the current research focuses on hiding secret data in the least-significant bit of the cover image in the spatial domain or embedding data into the coefficients of the high-frequency band in the transformational domain, which usually leads to poor performance in a hostile environment. Therefore, some researchers proposed to substitute the coefficients of the medium-frequency band in the transformational domain with secret information to enhance the anti-interference performance. However, this idea would severely affect the imperceptibility of secret images. As a result, an improved version based on the partial preservation embedding algorithm was designed in this paper. Theory analysis and simulation results indicate that the proposed scheme performs better than the existing methods by directly substituting the coefficients of the medium-frequency band in the transformational domain, especially in the case of strong noise interference.

Visual Sensor Network Processing and Preventative Steganalysis

2011 ◽  
pp. 340-357
Author(s):  
Julien Sebastien Jainsky ◽  
Deepa Kundur
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
High Rate ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Visual Sensor Networks ◽  
Steganographic Attacks ◽  
Wireless Visual Sensor Networks ◽  
The Moment ◽  
Rate Of Success

In this chapter, we discuss the topic of security in wireless visual sensor networks. In particular, attention is brought to steganographic security and how it can be discouraged without challenging the primary objectives of the network. We motivate the development and implementation of more lightweight steganalytic solutions that take into account the resources made available by the network’s deployment and its application in order to minimize the steganalysis impact on the WVSN workload. The concept of preventative steganalysis is also introduced in this chapter as a means to protect the network from the moment it is deployed. Preventative steganalysis aims at discouraging any potential steganographic attacks by processing the WVSN collected data such that the possibility of steganography becomes very small and the steganalysis leads to high rate of success.

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