ORCID Profile
0000-0003-3555-5682
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Publisher: Springer Science and Business Media LLC
Date: 31-01-2017
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 06-2007
Publisher: Inderscience Publishers
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 02-07-2023
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 10-2012
Publisher: Inderscience Publishers
Date: 2020
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 12-2017
Publisher: Emerald
Date: 03-05-2013
DOI: 10.1108/03321641311305746
Abstract: This paper presents and investigates a method named M×N‐ary chaotic pulse‐width‐position modulation (CPWPM) which is based on the combination of M‐ary chaotic pulse‐position modulation (CPPM) and N‐ary chaotic pulse‐width modulation (CPWM) in order to provide a better performance in noise‐affected environments as well as improve significantly bit rate. Analysis of schemes for modulator and demodulator are presented in detail through describing the schemes of the in idual methods and their combination. Theoretical evaluation of bit‐error rate (BER) performance in presence of additive white Gaussian noise (AWGN) is provided. Chaotic behavior with tent map in variation of modulation parameters is also investigated. In order to verify the theoretical analyses, numerical simulations are carried out and their results are reported. Both evaluation and simulation results show that when the number of symbols increases, the bit rate is improved significantly but the BER performance is just slightly worse. This makes M×N‐ary CPWPM become an effective method for chaos‐based digital communication. Although CPPM, CPWM and M‐ary modulation methods have been described in the literature separately, their combination is presented and investigated for the first time in this paper.
Publisher: IEEE
Date: 04-2012
Publisher: IEEE
Date: 02-2015
Publisher: Elsevier BV
Date: 02-2017
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier BV
Date: 02-2018
Publisher: Physical Society of Japan
Date: 15-03-2006
Publisher: IEEE
Date: 06-2008
Publisher: IEEE
Date: 08-2010
Publisher: MDPI AG
Date: 10-09-2020
DOI: 10.3390/E22091012
Abstract: In this paper, we propose, implement, and analyze the structures of two keyed hash functions using the Chaotic Neural Network (CNN). These structures are based on Sponge construction, and they produce two variants of hash value lengths, i.e., 256 and 512 bits. The first structure is composed of two-layered CNN, while the second one is formed by one-layered CNN and a combination of nonlinear functions. Indeed, the proposed structures employ two strong nonlinear systems, precisely a chaotic system and a neural network system. In addition, the proposed study is a new methodology of combining chaotic neural networks and Sponge construction that is proved secure against known attacks. The performance of the two proposed structures is analyzed in terms of security and speed. For the security measures, the number of hits of the two proposed structures doesn’t exceed 2 for 256-bit hash values and does not exceed 3 for 512-bit hash values. In terms of speed, the average number of cycles to hash one data byte (NCpB) is equal to 50.30 for Structure 1, and 21.21 and 24.56 for Structure 2 with 8 and 24 rounds, respectively. In addition, the performance of the two proposed structures is compared with that of the standard hash functions SHA-3, SHA-2, and with other classical chaos-based hash functions in the literature. The results of cryptanalytic analysis and the statistical tests highlight the robustness of the proposed keyed hash functions. It also shows the suitability of the proposed hash functions for the application such as Message Authentication, Data Integrity, Digital Signature, and Authenticated Encryption with Associated Data.
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 2012
Publisher: Springer Science and Business Media LLC
Date: 19-03-2014
Publisher: Wiley
Date: 06-09-2021
DOI: 10.1111/EXSY.12800
Abstract: The detection of mathematical expressions is a prerequisite step for the digitisation of scientific documents. Many different multistage approaches have been proposed for the detection of expressions in document images, that is, page segmentation and expression detection. However, the detection accuracy of such methods still needs improvement owing to errors in the page segmentation of complex documents. This paper presents an end‐to‐end framework for mathematical expression detection in scientific document images without requiring optical character recognition (OCR) or document analysis techniques applied in conventional methods. The novelty of this paper is twofold. First, because document images are usually in binary form, the direct use of these images, which lack texture information as input for detection networks, may lead to an incorrect detection. Therefore, we propose the application of a distance transform to obtain a discriminating and meaningful representation of mathematical expressions in document images. Second, the transformed images are fed into the faster region with a convolutional neural network (Faster R‐CNN) optimized to improve the accuracy of the detection. The proposed framework was tested on two benchmark data sets (Marmot and GTDB). Compared with the original Faster R‐CNN, the proposed network improves the accuracies of detection of isolated and inline expressions by 5.09% and 3.40%, respectfully, on the Marmot data set, whereas those on the GTDB data set are improved by 4.04% and 4.55%. A performance comparison with conventional methods shows the effectiveness of the proposed method.
Publisher: Springer Science and Business Media LLC
Date: 02-2016
Publisher: MDPI AG
Date: 13-05-2020
DOI: 10.3390/E22050548
Abstract: Most of chaos-based cryptosystems utilize stationary dynamics of chaos for the permutation and diffusion, and many of those are successfully attacked. In this paper, novel models of the image permutation and diffusion are proposed, in which chaotic map is perturbed at bit level on state variables, on control parameters or on both. Amounts of perturbation are initially the coordinate of pixels in the permutation, the value of ciphered word in the diffusion, and then a value extracted from state variables in every iteration. Under the persistent perturbation, dynamics of chaotic map is nonstationary and dependent on the image content. The simulation results and analyses demonstrate the effectiveness of the proposed models by means of the good statistical properties of transformed image obtained after just only a single round.
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 10-2019
Publisher: Physical Society of Japan
Date: 15-09-2006
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 10-2006
Publisher: American Chemical Society (ACS)
Date: 05-04-2017
DOI: 10.1021/ACS.NANOLETT.7B00872
Abstract: Lithium-oxygen (Li-O
Publisher: IEEE
Date: 08-2012
Publisher: IEEE
Date: 08-2011
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 08-2011
Publisher: Elsevier BV
Date: 03-2007
Publisher: World Scientific Pub Co Pte Lt
Date: 10-2017
DOI: 10.1142/S0218127417501735
Abstract: In this paper, the nonlinear dynamics of permanent magnet (PM) DC motor drive with proportional (P) controller have been investigated. The drive system shows different dynamical behaviors periodic, quasi-periodic, and chaotic behaviors, and those are characterized by using bifurcation diagram, phase portrait, and time series. The stability analysis of period-1 behavior is studied by using Filippov’s method, the analytic results show good agreement with simulation ones. Then, the stabilization of chaos to fixed point is carried out by using the sliding mode control (SMC). In addition, experimentally the nonlinear dynamics and the proposed stabilization method to PM DC motor drive system have been achieved by using a microcontroller. For the first time, it is noted that when the system is in chaotic dynamics, the vibration of the motor is increased approximately 400% compared with the system in periodic dynamical behavior.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Hindawi Limited
Date: 2012
DOI: 10.1155/2012/835304
Abstract: We present and investigate a method of chaotic pulse-time modulation (PTM) named chaotic pulse-width-position modulation (CPWPM) which is the combination of pulse-position-modulation (PPM) and pulse-width modulation (PWM) with the inclusion of chaos technique for digital communications. CPWPM signal is in the pulse train format, in which binary information is modulated onto chaotically-varied intervals of position and width of pulses, and therefore two bits are encoded on a single pulse. The operation of the method is described and the theoretical evaluation of bit-error rate (BER) performance in the presence of additive white Gaussian noise (AWGN) is provided. In addition, the chaotic behavior with tent map and its effect on average parameters of the system are investigated. Theoretical estimation and numerical simulation of a CPWPM system with specific parameters are carried out in order to verify the performance of the proposed method.
Publisher: MDPI AG
Date: 30-07-2019
DOI: 10.3390/E21080748
Abstract: In this paper, we firstly study the security enhancement of three steganographic methods by using a proposed chaotic system. The first method, namely the Enhanced Edge Adaptive Image Steganography Based on LSB Matching Revisited (EEALSBMR), is present in the spatial domain. The two other methods, the Enhanced Discrete Cosine Transform (EDCT) and Enhanced Discrete Wavelet transform (EDWT), are present in the frequency domain. The chaotic system is extremely robust and consists of a strong chaotic generator and a 2-D Cat map. Its main role is to secure the content of a message in case a message is detected. Secondly, three blind steganalysis methods, based on multi-resolution wavelet decomposition, are used to detect whether an embedded message is hidden in the tested image (stego image) or not (cover image). The steganalysis approach is based on the hypothesis that message-embedding schemes leave statistical evidence or structure in images that can be exploited for detection. The simulation results show that the Support Vector Machine (SVM) classifier and the Fisher Linear Discriminant (FLD) cannot distinguish between cover and stego images if the message size is smaller than 20% in the EEALSBMR steganographic method and if the message size is smaller than 15% in the EDCT steganographic method. However, SVM and FLD can distinguish between cover and stego images with reasonable accuracy in the EDWT steganographic method, irrespective of the message size.
Publisher: IEEE
Date: 08-2012
Publisher: IEEE
Date: 12-2013
Publisher: Springer Science and Business Media LLC
Date: 02-2016
Publisher: IEEE
Date: 07-2014
Publisher: Physical Society of Japan
Date: 08-2005
DOI: 10.1143/JPSJ.74.2374
Publisher: IEEE
Date: 08-2012
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: MDPI AG
Date: 16-12-2021
DOI: 10.3390/SYM13122432
Abstract: In this paper, we propose, implement and analyze an Authenticated Encryption with Associated Data Scheme (AEADS) based on the Modified Duplex Construction (MDC) that contains a chaotic compression function (CCF) based on our chaotic neural network revised (CNNR). Unlike the standard duplex construction (SDC), in the MDC there are two phases: the initialization phase and the duplexing phase, each contain a CNNR formed by a neural network with single layer, and followed by a set of non-linear functions. The MDC is implemented with two variants of width, i.e., 512 and 1024 bits. We tested our proposed scheme against the different cryptanalytic attacks. In fact, we evaluated the key and the message sensitivity, the collision resistance analysis and the diffusion effect. Additionally, we tested our proposed AEADS using the different statistical tests such as NIST, Histogram, chi-square, entropy, and correlation analysis. The experimental results obtained on the security performance of the proposed AEADS system are notable and the proposed system can then be used to protect data and authenticate their sources.
Publisher: IEEE
Date: 11-2017
Publisher: Elsevier BV
Date: 12-2008
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 07-2011
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/764341
Abstract: This paper proposes a chaos-based secure direct-sequence/spread-spectrum (DS/SS) communication system which is based on a novel combination of the conventional DS/SS and chaos techniques. In the proposed system, bit duration is varied according to a chaotic behavior but is always equal to a multiple of the fixed chip duration in the communication process. Data bits with variable duration are spectrum-spread by multiplying directly with a pseudonoise (PN) sequence and then modulated onto a sinusoidal carrier by means of binary phase-shift keying (BPSK). To recover exactly the data bits, the receiver needs an identical regeneration of not only the PN sequence but also the chaotic behavior, and hence data security is improved significantly. Structure and operation of the proposed system are analyzed in detail. Theoretical evaluation of bit-error rate (BER) performance in presence of additive white Gaussian noise (AWGN) is provided. Parameter choice for different cases of simulation is also considered. Simulation and theoretical results are shown to verify the reliability and feasibility of the proposed system. Security of the proposed system is also discussed.
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 2011
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2011
Publisher: Springer Science and Business Media LLC
Date: 16-05-2022
Publisher: Physical Society of Japan
Date: 15-06-2006
Publisher: Inderscience Publishers
Date: 2020
Publisher: IEEE
Date: 08-2010
Publisher: IEEE
Date: 07-2016
Publisher: Elsevier BV
Date: 10-2009
Publisher: IEEE
Date: 07-2016
No related grants have been discovered for Thang Manh Hoang.