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Optimization of Image Encryption algorithm Based on Henon Mapping and Arnold Transformation of Chaotic Systems

IEEE ACCESS 2024年 12卷 116905-116916页

作者： Wu, Yuebo Chu, Shiwei Bao, Huifang Wang, Duansong Zhou, Jian West Anhui Univ Sch Elect & Photoelect Engn Laan 237012 Peoples R China Anhui Univ Sch Elect Informat Engn Hefei 230039 Peoples R China

This study introduces an optimized image encryption algorithm that integrates Henon mapping and Arnold transformation to enhance the security and randomness of digital image encryption. The algorithm is designed to address the vulnerabilities of open network environments where data theft or corruption can compromise image quality during encryption. Initially, images are processed through grayscale conversion to reduce dimensionality, followed by Henon mapping to induce a chaotic sequence that scrambles the pixel matrix. Subsequently, Arnold transformation is applied, iterating 100 times to further disrupt the image structure, ensuring a high level of diffusion and complexity. The proposed method demonstrates superior performance with an average pixel change rate (NPCR) of 0.9982 and a normalized average change intensity (NACI) of 0.3654, significantly increasing resistance to differential attacks. The encrypted images exhibit higher information entropy and effectively mask the original data, although at the cost of extended encryption time due to the dual scrambling process. The study concludes that the combined use of Henon mapping and Arnold transformation not only strengthens encryption against various attacks but also introduces a novel approach to image encryption, with potential for further optimization to enhance efficiency in handling larger images. This advancement is crucial for protecting privacy and ensuring data integrity in the transmission and storage of images, particularly in the face of evolving cyber threats.

关键词： Cryptography Image processing Encryption algorithm design and analysis Chaos Image encryption algorithm combination Henon mapping Arnold transformation chaotic system

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UAV Control System Based on Back-Stepping and Active Disturbance Rejection Control

UAV Control System Based on Back-Stepping and Active Disturb...

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2018第3届联合国际信息技术，机械与电子工程学术会议(JIMEC 2018)

作者： Chen Linqi Li Tinghui College of Electronic Engineering Guangxi Normal University

This paper combines back-stepping and active disturbance rejection control(ADRC) to form an integrated controller for quad-rotor UAV with multiple uncertainties. First, the aerodynamics model of the quad-rotor UAV is analyzed, and the control law of the back-stepping is deduced. Second, after analyzing the back-stepping control law, it can be rewritten and integrated with ADRC. In order to satisfy the demand of back-stepping, finite-time convergent third-order differentiator is used instead of the tracking differentiator(TD).Third, the closed-loop feedback controller for the system is established. Finally, simulation experiments under the MATLAB environment show that the integrated controller improves convergence speed and control precision.

关键词： Quad-rotor UAV Back-stepping control Active disturbance rejection control (ADRC) Nonlinear control algorithm combination

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UKF-Based Underwater Terrain Matching algorithms combination

UKF-Based Underwater Terrain Matching Algorithms Combination

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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)

作者： Feng Wei Zhangjing Yuan Rao Zhe Department of Weaponry Engineering Naval University of Engineering

In order to neutralize the disadvantages of UKF algorithm applied in discontinuous terrain based navigation,this study offers an updated TERCOM/ICCP+UKF terrain matching algorithms ***,the theoretical and practical limitations of UKF-based underwater terrain matching algorithm adopted in terrain based navigation system are ***,regarding the discounted effectiveness of algorithm matching resulted from larger initial navigation deviation,on the basis of commonly used "rough searching" and "precise matching" algorithm ideology,a combination approach of TERCOM,ICCP and UKF matching algorithms as well as the possible solution to similarly problematic terrains is *** results show that algorithm combination has advantage over individual UKF matching algorithm because of offsetting the influence of larger initial navigation deviation on algorithm matching effectiveness,and presents better adaptability and applicability.

关键词： UKF Underwater Terrain Matching algorithm algorithm combination Underwater Terrain Based Navigation

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Data Fusion : Boosting Performance in Keyword Extraction

Data Fusion : Boosting Performance in Keyword Extraction

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20th Annual IEEE International Conference and Workshops on the Engineering of Computer Based Systems (ECBS)

作者： Bohne, Thomas Borghoff, Uwe M. Univ Bundeswehr Munchen Dept Comp Sci Munich Germany

ISBN: (纸本)9780769549910

In a time when volatile data is in constant growth, the importance of keyword extraction becomes particularly evident. Keywords can quickly identify, structure and reveal potentially worthwhile information. The quality of automatically extracted keywords reflects the individual characteristics of the various retrieval approaches that may be used for extraction. A combinatorial approach using multiple heuristic keyword extraction algorithms may enhance the quality of the results significantly, though it may also compound the inherent limitations. In our paper we compare different ranking aggregation and data fusion methods for single documents. Furthermore we apply principal component analysis to determine an optimal selection of retrieval algorithms for combination with respect to the use-case. To validate our approach, we provide a statistical evaluation with real-world examples.

关键词： keyword extraction algorithm combination principal component analysis

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Data Fusion : Boosting Performance in Keyword Extraction

Data Fusion : Boosting Performance in Keyword Extraction

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IEEE International Conference and Workshops on Engineering of Computer Based Systems

作者： Thomas Bohne Uwe M. Borghoff Computer Science Department Universit?t der Bundeswehr München Werner Heisenberg Weg 39 München Germany

ISBN: (纸本)9781467361934

In a time when volatile data is in constant growth, the importance of keyword extraction becomes particularly evident. Keywords can quickly identify, structure and reveal potentially worthwhile information. The quality of automatically extracted keywords re?ects the individual characteristics of the various retrieval approaches that may be used for extraction. A combinatorial approach using multiple heuristic keyword extraction algorithms may enhance the quality of the results signi?cantly, though it may also compound the inherent limitations. In our paper we compare different ranking aggregation and data fusion methods for single documents. Furthermore we apply principal component analysis to determine an optimal selection of retrieval algorithms for combination with respect to the use-case. To validate our approach, we provide a statistical evaluation with real-world examples.

关键词： extraction algorithm combination principal component analysis principal components analysis Data fusion data integration optimal selection Individual Characteristics KEYWORD retrieval

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10-Point DFT and Its Application in Power System Harmonic Analysis

10-Point DFT and Its Application in Power System Harmonic An...

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International Conference on Materials Science and Information Technology (MSIT 2011)

作者： Li, Daolin Li, Haijun Three Gorges Vocat Coll Elect Power Dept Elect Engn Yichang Peoples R China China Three Gorge Univ Elect & New Energy Coll Yichang Peoples R China

ISBN: (纸本)9783037853191

In this paper, an efficient algorithm for computing 10-point DFT, radix-10 FFT algorithm for computing 10(M)-point DFT and N=L x 10(M)point DFT are presented. FFT is often employed in power systems harmonics analysis even though it is not accurate due to spectral leakage and barrier effect. When N=L x 10(M)-point DFTs are used to analyze harmonics in power systems, comparing to N=2(M)-point DFTs, very accurate harmonic parameters can be obtained. The simulation results in MATLAB show that the methods are feasible and effective to enhance analysis accuracy.

关键词： Harmonic analysis 10-point DFT Power system algorithm combination

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A General Social Intelligent algorithmic Framework for Packing Problem with multi-processors

A General Social Intelligent Algorithmic Framework for Packi...

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2010 IEEE 2nd Symposium on Web Society

作者： Junling Wang~(*++),Yi Yang~+,Chenyang Zhao~*,Li Liu~+,Caihong Li~*,Lian Li~+,Jiazao Lin~? * School of Mathematics and Statistics Lanzhou University,P.R.China,730000 + School of Information Science & Engineering Lanzhou University,P.R.China,730000§School of Computer Science University of Guelph,Guelph,Canada,N1G 2W1

In this paper we establish a general social intelligent algorithmic framework for packing problem under the help of the conception of social *** this framework, packing problem can be solved intelligently,with the same asymptotic bounds by applying the existing packing algorithms. More precisely,our framework is designed to intelligently adopt the most proper one among all the given existing packing algorithms to pack the fixed given rectangle according to the present packing ***,for single packing processor,the algorithm created by our framework certainly turns out to be the algorithm the processor *** for multiple packing processors,it can construct and provide one social parallel intelligent packing algorithm based on all existing *** constructed algorithm certainly better than any algorithm involved,since the most proper algorithm is always adopted.

关键词： social computing strip packing bin packing autonomic computing algorithm combination

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Detection and analysis of table of contents based on content association

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INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 2006年第2-3期8卷 132-143页

作者： Lin, Xiaofan Xiong, Yan Hewlett Packard Labs Palo Alto CA 94304 USA KLA Tencor Corp Milpitas CA 95035 USA

As a special type of table understanding, the detection and analysis of tables of contents (TOCs) play an important role in the digitization of multi-page documents. Most previous TOC analysis methods only concentrate on the TOC itself without taking into account the other pages in the same document. Besides, they often require manual coding or at least machine learning of document-specific models. This paper introduces a new method to detect and analyze TOCs based on content association. It fully leverages the text information throughout the whole multi-page document and can be directly applied to a wide range of documents without the need to build or learn the models for individual documents. In addition, the associations of general text and page numbers are combined to make the TOC analysis more accurate. Natural language processing and layout analysis are integrated to improve the TOC functional tagging. The applications of the proposed method in a large-scale digital library project are also discussed.

关键词： table of contents document structure analysis table recognition optical character recognition algorithm combination

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