A secure communication approach in OFDM using optimized interesting region-based video watermarking

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amir M.U. Wagdarikar ◽  
Ranjan K. Senapati
Keyword(s):  
Wavelet Transform ◽  
Secure Communication ◽  
Orthogonal Frequency Division Multiplexing ◽  
Random Noise ◽  
Video Watermarking ◽  
Secret Message ◽  
Ofdm System ◽  
Content Type ◽  
Minimum Mean Squared Error ◽  
Communication Approach

Purpose The technique for hiding confidential data in specific digital media by enhancing the graphical contents is known as watermarking. The dissemination of information over a secure channel is essential for multimedia applications. The purpose of this study is to develop a secure communication approach for OFDM system. Design/methodology/approach This paper exploits a secure communication in the orthogonal frequency division multiplexing (OFDM) system using wavelet-based video watermarking technique. In this work, the Chronological-MS algorithm is used for securing the data communication in the OFDM system. Here, the secret message is embedded in video frames using wavelet transform for hiding sensitive information and the hidden information is transmitted over the OFDM system. The Chronological-MS algorithm is used for selecting the optimal regions in the video for embedding secret message. In embedding phase, wavelet coefficients are obtained by applying wavelet transform on the frame for embedding the secret message. Meanwhile, in extraction phase, the inverse wavelet transform is applied to extract the secret message. Findings Considering number of frames, the maximum Peak signal-to-noise ratio (PSNR) value is attained by proposed Wavelet + Chronological MS method for Video 2 with value 73.643 dB, respectively. Meanwhile, the minimum mean squared error (MSE) attained by the proposed Wavelet + Chronological MS method is when considering number of frames with MSE values as 0.001 for both Videos 1 and 2. The minimum bit error rate (BER) value is attained by the proposed method with value 0.00009 considering random noise with Video 1. Thus, the proposed Wavelet + Chronological MS have shown better results than the existing techniques. Originality/value This work proposes a wavelet-based watermarking method using Chronological-MS, for initiating secured communication over an OFDM. One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. Hence, the proposed method offers the highly secured data transmission over the OFDM.

Genetic algorithm based automated threshold estimation in translation invariant wavelet transform for denoising PD signal

2015 ◽  
Vol 34 (4) ◽  
pp. 1252-1269 ◽  
Author(s):  
R.V. Maheswari ◽  
B. Vigneshwaran ◽  
L. Kalaivani
Keyword(s):  
Genetic Algorithm ◽  
Wavelet Transform ◽  
Computational Complexity ◽  
Condition Monitoring ◽  
Random Noise ◽  
Life Time ◽  
Discrete Wavelet ◽  
Statistical Parameters ◽  
Translation Invariant ◽  
Content Type

Purpose – The purpose of this paper is to investigate the condition of insulation in high-voltage equipments using partial discharge (PD) measurements. It proposes the methods to eliminate several noises like white noise, random noise and discrete spectral interferences which severely pollutes the PD signals. The study aims to remove these noises from the PD signal effectively by preserving the signal features. Design/methodology/approach – This paper employs fast Fourier transform, discrete wavelet transform and translational invariant wavelet transform (TIWT) for denoising the PD signals. The simulated damped exponential pulse and damped oscillatory pulse with low- and high-level noises and a measured PD signal are considered for this analysis. The conventional wavelet denoising approach is also improved by estimating the automated global optimum threshold value using genetic algorithm (GA). The statistical parameters are evaluated and compared. Among these methods, GA-based TIWT approach provides robustness and reduces computational complexity. Findings – This paper provides effective condition monitoring of power apparatus using GA-based TIWT approach. This method provides the low value of mean square error, pulse amplitude distortion and also high reduction in noise level due to its robustness and reduced computational complexity. It suggests that this approach works well for both signals immersed in noise as well as for noise immersed in signals. Research limitations/implications – Because of the chosen PD signals, the research results may lack for multiple discharges. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications – The paper includes implication for the development of online testing for equipment analysis and diagnostics during normal operating condition. Corrective actions can be planned and implemented, resulting in reduced unscheduled downtime. Social implications – This PD-based analysis often present well in advance of insulation failure, asset managers can monitor it over time and make informed strategic decisions regarding the repair or replacement of the equipment. These predictive diagnostics help society to prioritize investments before an unexpected outage occurs. Originality/value – This paper provides an enhanced study of condition monitoring of HV power apparatus by which life time of insulation can be increased by taking preventive measures.

Wavelet transform-based steganographic method for secure data communication using OFDM system

2017 ◽  
Vol 10 (3) ◽  
pp. 362-386 ◽  
Author(s):  
Sanjay I. Nipanikar ◽  
V. Hima Deepthi
Keyword(s):  
Wavelet Transform ◽  
Cost Estimation ◽  
Communication System ◽  
Data Communication ◽  
Extraction Process ◽  
Cover Image ◽  
The Novel ◽  
Ofdm System ◽  
Content Type ◽  
The Cost

Purpose Fueled by the rapid growth of internet, steganography has emerged as one of the promising techniques in the communication system to obscure the data. Steganography is defined as the process of concealing the data or message within media files without affecting the perception of the image. Media files, like audio, video, image, etc., are utilized to embed the message. Nowadays, steganography is also used to transmit the medical information or diagnostic reports. The paper aims to discuss these issues. Design/methodology/approach In this paper, the novel wavelet transform-based steganographic method is proposed for secure data communication using OFDM system. The embedding and extraction process in the proposed steganography method exploits the wavelet transform. Initially, the cost matrix is estimated by the following three aspects: pixel intensity, edge transformation and wavelet transform. The cost estimation matrix provides the location of the cover image where the message is to be entrenched. Then, the wavelet transform is utilized to embed the message into the cover image according to the cost value. Subsequently, in the extraction process, the wavelet transform is applied to the embedded image to retrieve the message efficiently. Finally, in order to transfer the secret information over the channel, the newly developed wavelet-based steganographic method is employed for the OFDM system. Findings The experimental results are evaluated and performance is analyzed using PSNR and MSE parameters and then compared with existing systems. Thus, the outcome of our wavelet transform steganographic method achieves the PSNR of 71.5 dB which ensures the high imperceptibility of the image. Then, the outcome of the OFDM-based proposed steganographic method attains the higher PSNR of 71.07 dB that proves the confidentiality of the message. Originality/value In the authors’ previous work, the embedding and extraction process was done based on the cost estimation matrix. To enhance the security throughout the communication system, the novel wavelet-based embedding and extraction process is applied to the OFDM system in this paper. The idea behind this method is to attain a higher imperceptibility and robustness of the image.

scholarly journals Improving MIMO-OFDM Performance with Convolutional Coding and Discrete Wavelet Transform

2020 ◽  
pp. 299-305
Author(s):  
Saad S. Hreshee ◽  
◽  
Qais K. Al-Gayem
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Fading Channel ◽  
Orthogonal Frequency Division Multiplexing ◽  
Rayleigh Fading ◽  
Rician Fading ◽  
Discrete Wavelet ◽  
Ofdm System ◽  
Convolutional Coding ◽  
Mimo Ofdm

This paper presents a new way to improve the performance of MIMO-OFDM (multiple input multiple output - orthogonal frequency division multiplexing) by reducing the Bit Error Rate (BER) using both Convolutional Coding (CC) and discrete wavelet transform (DWT). In this Paper, OFDM system was simulated and studied with three models, SISO-OFDM, MISO-OFDM and MIMO-OFDM. The final system (MIMO-OFDM) has been improved by using CC at a coding rate 1/2 and using a DWT instead of FFT and then using both CC and DWT. The communication channels used in the study are Rician and Rayleigh fading channels and the modulation technique is Binary Phase-Shift Keying (BPSK) with 64 number of carrier frequencies. The results showed that the use of both convolutional coding and discrete wavelet transform in the MIMO-OFDM system reduces the bit energy to the intensity of noise energy (Eb/N0) by 3.4 dB as the Rayleigh fading channel is used and 4.6 dB as the Rician fading channel is used when BER=10-3. The results were obtained by modeling in the MATLAB program.

Self-improved grey wolf optimization for estimating carrier frequency offset in SCM-OFDM systems

2020 ◽  
Vol 16 (1) ◽  
pp. 53-73
Author(s):  
Rashmi N. ◽  
Mrinal Sarvagya
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Carrier Frequency Offset ◽  
State Of The Art ◽  
Frequency Division ◽  
Grey Wolf ◽  
Ofdm System ◽  
Grey Wolf Optimization ◽  
Content Type ◽  
Transmitted Signal ◽  
Better Than

Purpose The purpose of this paper is to demonstrate a proficiency for accomplishing optimal CFO and keep down the error among the received and transmitted signal. Orthogonal frequency-division multiplexing (OFDM) is considered as an attractive modulation scheme that could be adopted in wireless communication systems owing to its reliability in opposition to multipath interruptions under different subchannels. Carrier frequency offset (CFO) establishes inter-carrier interference that devastates the orthogonality between the subcarriers and fluctuates the preferred signal and minimizes the effectual signal-to-noise ratio (SNR). This results in corrupted system performance. For sustaining the subcarriers’ orthogonality, timing errors and CFOs have to be approximated and sufficiently compensated for. Single carrier modulation (SCM) is a major feature for efficient OFDM system. Design/methodology/approach This paper introduces a novel superposition coded modulation-orthogonal frequency-division multiplexing (SCM-OFDM) system with optimal CFO estimation using advanced optimization algorithm. The effectiveness of SCM-OFDM is validated by correlating the transmitted and received signal. Hence, the primary objective of the current research work is to reduce the error among the transmitted and received signal. The received signal involves CFO, which has to be tuned properly to get the signal as closest as possible with transmitted signal. The optimization or tuning of CFO is done by improved grey wolf optimization (GWO) called GWO with self-adaptiveness (GWO-SA). Further, it carries the performance comparison of proposed model with state-of-the-art models with the analysis on bit error rate (BER) and mean square error (MSE), thus validating the system’s performance. Findings From the analysis, BER of the proposed and conventional schemes for CFO at 0.25 was determined, where the adopted scheme at 10th SNR was 99.6 per cent better than maximum likelihood, 99.6 per cent better than least mean square (LMS), 99.3 per cent better than particle swarm optimization (PSO), 75 per cent better than genetic algorithm (GA) and 25 per cent better than GWO algorithms. Moreover, MSE at 1st SNR, the proposed GWO-SA scheme, is 4.62 per cent better than LMS, 60.1 per cent better than PSO, 37.82 better than GA and 67.85 per cent better than GWO algorithms. Hence, it is confirmed that the performance of SCM-OFDM system with GWO-SA-based CFO estimation outperformed the state-of-the-art techniques. Originality/value This paper presents a technique for attaining optimal CFO and to minimize the error among the received and transmitted signal. This is the first work that uses GWO-SA for attaining optimal CFO.

scholarly journals Performance investigation of WOFDM for 5G wireless networks

2019 ◽  
Vol 9 (4) ◽  
pp. 3153
Author(s):  
M. F. Ghanim
Keyword(s):  
Wireless Networks ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Orthogonal Frequency Division Multiplexing ◽  
Original System ◽  
Discrete Wavelet ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Ofdm System

<p>Nowadays, emerging wireless networks scenarios such as the proposed systems for 5G is discussed widely with diverse requirements. Orthogonal Frequency Division Multiplexing (OFDM) is a conservative proposal which is used to build 5G WOFDM system (Wavelet OFDM system). The simulation of the system is initialized with BPSK then with QAM and 64-QAM the system is improved by increasing the number of levels of Discrete Wavelet Transform to five levels and finally compared with original system to prove that the it is convenient for 5G Wireless networks.</p>

scholarly journals The effect of wavelet transform on OFDM system in modern cellular networks

2019 ◽  
Vol 15 (1) ◽  
pp. 324
Author(s):  
Mayada Faris Ghanim
Keyword(s):  
Fourier Transform ◽  
Wavelet Transform ◽  
Wireless Communications ◽  
Cellular Networks ◽  
Orthogonal Frequency Division Multiplexing ◽  
Cyclic Prefix ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Ofdm Systems ◽  
Ofdm System

Wavelet transform has many advantages that make it suitable and efficient approach to replace Fast Fourier Transform (FFT) in conventional Orthogonal Frequency Division Multiplexing (OFDM) systems. Wavelet transform is employed in modern cellular networks to remove the use of cyclic prefix, which leads to decreasing the bandwidth losses and the power of transmission. Wavelet based OFDM system is designed in order to overcome the drawbacks of OFDM system so that the proposed system is good candidate for next generation wireless communications.

scholarly journals PAPR Reduction of OFDM System with Biorthoganoal Wavelet Transforms

2021 ◽  
pp. 17-22
Author(s):  
Palle Jagadeeswara Rao and Dr. A S Srinivasa Rao
Keyword(s):  
Wavelet Transform ◽  
Wavelet Transforms ◽  
Orthogonal Frequency Division Multiplexing ◽  
Spectrum Efficiency ◽  
Frequency Division Multiplexing ◽  
Intercarrier Interference ◽  
Frequency Division ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Available Bandwidth

Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input and Multiple Output (MIMO) are two main techniques employed in 4th Generation Long Term Evolution (LTE). In OFDM multiple carriers are used and it provides higher level of spectral efficiency as compared to Frequency Division Multiplexing (FDM). In OFDM because of loss of orthogonality between the subcarriers there is intercarrier interference (ICI) and intersymbol interference (ISI) and to overcome this problem use of cyclic prefixing (CP) is required, which uses 20% of available bandwidth. Wavelet based OFDM provides good orthogonality and with its use Bit Error Rate (BER) is improved. Wavelet based system does not require cyclic prefix, so spectrum efficiency is increased. It is proposed to use wavelet transform including biorthoganoal wavelet transform with OFDM systems. This approach will reduce PAPR in the OFDM system effectively. We will design this model with different modulation Techniques like QPSK and QAM and compare the BER results.

Design and Development of a Multiobjective Cost Function for Robust Video Watermarking Using Wavelet Transform

2017 ◽  
Vol 28 (5) ◽  
pp. 873-891 ◽  
Author(s):  
Amir M.U. Wagdarikar ◽  
Ranjan K. Senapati
Keyword(s):  
Wavelet Transform ◽  
Cost Function ◽  
Wavelet Coefficient ◽  
Correlation Coefficients ◽  
Video Watermarking ◽  
Video Frame ◽  
Secret Message ◽  
Binary Images ◽  
And Performance ◽  
The Cost

Abstract Watermarking is the process of concealing the secret message into multimedia sources, such as audio, image, and video. Rather than other steganography, video watermarking is mainly focused on the robustness of the system. In this paper, we propose the multiobjective cost function for video watermarking. Initially, the cover image (video frame) is subjected into cost function computation. Then, the cost function is newly designed and developed by various objectives, such as intensity, energy, edge, coverage, and brightness. Subsequently, the wavelet transform is applied to the original frame that acquires a wavelet coefficient-based video frame. Simultaneously, the secret message is partitioned into binary images using the bit plane technique. According to the cost value, the message bit is embedded into the wavelet coefficients in the embedding phase. In the extraction phase, the secret message is retrieved. Finally, the experimental results are validated, and performance is analyzed using metrics, correlation coefficients, and peak-to-signal noise ratio (PSNR). From the results, it can be shown that the proposed method attains 98.19 dB PSNR and 1.00 correlation coefficient value to provide better robustness of the system.

scholarly journals Wavelet Transform Application Based on Matlab Simulation

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Tan Nguyen Minh ◽  
Hua-Ming Chen ◽  
Binh Duong Giap ◽  
Hoang Le Quang Nhat
Keyword(s):  
Wavelet Transform ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Simulation Software ◽  
Discrete Wavelet ◽  
Matlab Simulation ◽  
Ofdm System ◽  
High Data ◽  
Input Multiple Output ◽  
Mimo Ofdm

Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are two combined technologies to provide the spectral efficiency and high data rate required for 4G, 5G wireless systems. Discrete Wavelet Transform (DWT) is presented as an alternative for Fast Fourier Transform (FFT) since there is no necessity for Cyclic Prefix (CP) due to the overlapping properties of DWT. By a simple replacement of the FFT with DWT in MIMO OFDM system, an improvement of performances has been detected which leads to a new system scenario DWT-based MIMO-OFDM. In this thesis, such a system is simulated and the performance of Bit Error Rate (BER) is analyzed to determine the different types of wavelets in various channel condition with different modulations (4, 16, 64 -QAM). Therefore, DWT-based MIMO-OFDM in comparison with DFT-based MIMO-OFDM system was investigated using MATLAB simulation software. And besides, I would like to refer to use Neural Network algorithms to replace Wavelet transform in the next research.

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