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Image authentication and self-recovery scheme based on the rehashing model

Journal of Information Hiding and Multimedia signal processing 2016年第3期7卷 460-474页

作者： Lyu, Wan-Li Chang, Chin-Chen Wang, Feng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd. Seatwen Taichung40724 Taiwan Department of Computer Science and Information Engineering Asia University Taichung41354 Taiwan Department of Mathematics and Physics Fujian University of Technology FuzhouFujian350108 China

An effective image tamper localization and self-recovery scheme that uses the rehashing model is proposed in this paper. The aim of the proposed scheme was to reduce the failure rate in detecting image tamper areas and achieve high rates of successful detection. To achieve this aim, the proposed scheme uses a set of hash functions which are called the rehashing model, gained an optimal decreasing collision method to detect tamper areas With an improved and accurate tamper detection rate, the tampered image can be recovered more accurately. The quality of the proposed scheme was tested with gray and color images. The experimental results indicated that the proposed scheme has good performance in locating tamper locations and allows image recovery with an acceptable visual quality up to 50% of the image content tampered. © 2016.

关键词： Hash functions

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An integratable verifiable secret sharing mechanism

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International Journal of Network Security 2016年第4期18卷 617-624页

作者： Liu, Yanjun Chang, Chin-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University No. 111 Jiulong Rd Hefei230601 China Department of Computer Science and Information Engineering Asia University No. 500 Lioufeng Rd Wufeng Taichung413 Taiwan Department of Information Engineering and Computer Science Feng Chia University No. 100 Wenhwa Rd Seatwen Taichung413 Taiwan

Threshold secret sharing (SS), also denoted as (t, n) SS, has been used extensively in the area of information se- curity, such as for group authentication, cloud storage schemes, secure parallel communication and wireless mul- tipath routing protocols. However, a (t, n) SS cannot de- tect any deceptions among the dealer and shareholders. Veriable secret sharing (VSS) overcomes the weakness of (t, n) SS in such a way that it is able to detect cheaters by verifying the validity of shares or the correctness of the recovered secret under the condition that both shares and the secret are not compromised. Recently, two non- interactive VSSs based on Asmuth-Bloom's SS were pro- posed by Harn et al. and Liu et al., respectively. Both VSSs require shareholders to examine the range of values of some integers related to the secret before recovering the secret, which is a time-consuming operation. In this paper, we propose a novel integratable VSS mechanism that integrates the concepts of the generalized Chinese remainder theorem (GCRT), Shamir's SS and Asmuth- Bloom's SS. Our proposed VSS can verify that the secret reconstructed by any t or more shareholders is the same as the one that the dealer has generated. Analysis shows that our proposed VSS can provide perfect secrecy and better efficiency.

关键词： Hash functions

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Distributed CoMP transmission for cell range expansion with almost blank subframe in downlink heterogeneous networks

Distributed CoMP transmission for cell range expansion with ...

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International Conference on Intelligent computing and Internet of Things (ICIT)

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui Province China

ISBN: (纸本)9781479975358

The almost blank subframe (ABS) has been studied in 3GPP as a way to mitigate downlink interference experienced by cell range expansion (CRE) user equipments (UEs). However, the throughput of CRE UEs highly depends on the ratios of ABS which are statically configured in many situations. The coordinated multi-point (CoMP) is one of the key solutions standardized in LTE-A which can be implemented in CRE with ABS to exploit the abundant spatial resources. And distributed cell selection could help guarantee the UEs' performance under different range expansion biases. In this paper, a distributed CoMP method for CRE with ABS is proposed in heterogeneous networks. Simulation results show that our proposed algorithm provides considerable performance gains in the spectrum efficiency with different bias and users settings.

关键词： Algorithm design and analysis Macrocell networks Antennas

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Spray and Wait Routing Algorithm Based on Transfer Utility of Node in DTN

Spray and Wait Routing Algorithm Based on Transfer Utility o...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Guizhu Wang Mei Shao Run Li Yao Ma Bingting Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Department of Electronic and Electrical Engineering Chuzhou University

Delay Tolerant Networks(DTNs) is a mobile wireless network, in which it is difficult to establish end-to-end paths. Meanwhile, the nodes transmit message copies randomly,resulting in a high overhead of message propagation. In this paper, a Transfer Utility of Node Spray and Wait(TUoN-SNW)routing is proposed to forward the message copies dynamically,which avoid randomness of Spray and Wait routing protocol when message copies are forwarded. And in order to reduce the overhead, a Based on Transfer Utility of Node’s Buffer Scheduling Strategy(BTUoN-BSP) is also applied. Simulation results show that compared with the Spray and Wait(SNW)routing, the algorithms could not only improve the delivery rate but also reduce the overhead of network obviously.

关键词： delay tolerant networks transfer utility spray and wait buffer scheduling strategy

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks

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Journal of Computational Information Systems 2014年第24期10卷 10593-10601页

作者： Zhang, Hongwei Li, Fengzhen Zhang, Gongquan Li, Ruzi Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks is proposed in this paper, which is suitable for the universal bidirectional relay communication model that two source terminals and all relays are equipped with multiple antennas. Orthogonal frequency division multiplexing (OFDM) ways are adopted to complete all information transmissions among different nodes. One whole bidirectional data exchange and transmission process between both source terminals mainly includes two stages. In the first stage, the symbols to be transmitted are jointly coded appropriately at two source terminals during several time slots on each sub-carrier, and then broadcasted to all relay nodes respectively. In the second stage, each OFDM modulation symbol is cyclically delayed with proper cyclic delay value at each relay in time domain. In the amplification and forwarding (AF) process, the operated signals at all relays are transmitted to both source terminals successively in time division (TD) ways, only those antennas performing cooperative relay transmissions at each relay node work together during several proper AF time slots. According to the coding and forwarding rules, one source terminal can obtain the original data from the other terminal after eliminating self-interferences. Finally, the proposed scheme can realize full-rate transmissions with low coding and detection complexity, which is applicable to the general bidirectional relay communication case, the coding process is simple and can be extended to design similar relay schemes easily. Simulation results verify the superiority and effectiveness of the proposed scheme.

关键词： Electronic data interchange

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A novel permutation algorithm in frequency-domain Blind Source Separation

A novel permutation algorithm in frequency-domain Blind Sour...

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International Conference on Information, Communications and signal processing

作者： Zhao Lv Xiaopei Wu Bangyan Zhou Chao Zhang Key Laboratory of Intelligent Computing & Signal Processing Co-Innovation Center for Information Supply & Assurance Technology Anhui University Hefei China

ISBN: (纸本)9781467372190

This paper presents a novel permutation algorithm for solving the permutation ambiguity of frequency-domain BSS(Blind Source Separation). The proposed algorithm harnesses the characteristics that signals at adjacent frequency bins have a high similarity and utilizes Dynamic Time Warping (DTW) to compare this similarity in order to obtain an adjusting matrix at adjacent frequency bin. In real experimental environment, ASSNR(Average Segmental SNR) was utilized to evaluate the separation quality and the proposed method is found to improve the separation over the traditional criterions.

关键词： Heuristic algorithms Prediction algorithms Speech Time series analysis signal processing algorithms Time-frequency analysis

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Electrical detection of single particle in cylindrical solid-state nanopores

Electrical detection of single particle in cylindrical solid...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Yu Zhang Jun Luo Yansong Liu Minquan Li Chao Zhao Chengjun Huang Key Laboratory of Intelligent Computing and Signal Processing Anhui University China Key Laboratory of Microelectronics Device and Integrated Technology Institute of Microelectronics of Chinese Academy of Science Beijing China

This paper presented a new technique for electrical detection of single nanoparticle in a cylindrical solid-state nanopore by measuring the blockage ionic current change. Both numerical and analytical models were developed to simulate and optimize the electrical responses of the device when a single particle was passing through the nanopore. The effects of different nanopore geometries on nanoparticle detection performance were discussed, which could provide guidelines for the device fabrications and nanoparticle detection applications.

关键词： Conferences Electron devices Solid state circuits

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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system

An improved precoding of Approximative Matrix Inverse Comput...

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IEEE International Conference on Progress in Informatics and computing (PIC)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

In massive multiple-input multiple-output (MIMO) system, scaling up the antennas of base station (BS) has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Approximation algorithms Antennas Bit error rate Precoding signal to noise ratio

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Improved Anti-Occlusion Target Tracking Algorithm Based on Compressive Particle Filtering

Improved Anti-Occlusion Target Tracking Algorithm Based on C...

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International Symposium on Computational intelligence and Design, ISCID

作者： Yaohua Xu Xiaoli Jiang Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781467395885

In order to resolves the problem of occlusion in process of target tracking, an improved anti-occlusion tracking algorithm was proposed in this paper based on compressive particle filtering (CPF). Compressive sensing theory was introduced into particle filter (PF) framework to ensure the instantaneity of tracking. We apply the histogram with spatial information and sub-part matching ideas in the compressive particle filtering algorithm to enhance the robustness of tracking when the target was blocked by barriers. In this approach, we adopt different strategies to tracking target when the target was occluded or not. When the target was occluded, tracking it by compressive particle filtering algorithm based on sub-part matching and updating the target templates to fits the change of target appearance, otherwise, tracking it by the general compressive particle filtering algorithm. This approach bring about better robustness and tracking speed compared with the particle filtering algorithm and compressive tracking algorithm.

关键词： Target tracking Filtering Histograms Color signal processing algorithms Compressed sensing Robustness

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