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4th International Conference on Contemporary Computing

作者： Yadav, Divakar Dani, Deepali Kumari, Preeti Jaypee Inst Informat Technol Noida India

ISBN: (纸本)9783642226052

Redundant data transfer over a network is one of the important reasons of traffic congestion today. In this paper, we proposed an efficient and secure file sharing model using de-duplication technology to resolve it. A file sharing based de-duplication system reduce bandwidth and storage at both client and server machine. It does not download duplicate blocks that already have been downloaded. To achieve the security of client data, three-tier architecture is proposed in this work. For this purpose SHA-1 hash function is being used, in which 8KB block of data is converted into a 20 bytes digest. Thus the design presents a dramatic reduction in storage space requirement for various workloads and hence reduces time to perform backup in bandwidth constraint environment.

关键词： De-duplication three-tier architecture hash algorithm Bandwidth conservation Storage reduction

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National Cryptographic algorithms based Personalized Federated Learning with Flight Data 6

National Cryptographic Algorithms based Personalized Federat...

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6th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2024

作者： Sun, Aohan Lu, Yanrong Liu, Xinyu School of Computer Science and Technology Civil Aviation University of China Tianjin China College of Safety Science and Engineering Civil Aviation University of China Tianjin China

ISBN: (纸本)9798331541699

This paper designed FedPDA (Federated Learning Personalized Data Authentication) a new architecture that combines personalized federated learning and domestic encryption algorithms. The FedPDA enhanced the adaptability and prediction accuracy of specific flight data, -divided the model parameters into global general parameters and personalized specific parameters. In addition, FedPDA uses domestic encryption standards SM2 and SM3 to ensure the security and integrity of flight data. The experimental results show that FedPDA can not only effectively protect user privacy and data security, but also significantly improve the stability and efficiency of the heterogeneous flight data. © 2024 IEEE.

关键词： Data Authentication Data Heterogeneity hash algorithm Personalized Federal Learning QAR Data

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Design of an Automatic Testing System for Camera UI Test 39

Design of an Automatic Testing System for Camera UI Test

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39th Chinese Control Conference (CCC)

作者： Ji, Pengfei Qi, Yiwen Zhang, Chi Xing, Ning Shenyang Aerosp Univ Sch Automat Shenyang 110136 Peoples R China

ISBN: (纸本)9789881563903

In view of the current tedious camera inspection process, limited test cycle and complex test content, in order to reduce the work intensity of testers, the automatic test is designed for functional test with high repeatability and easy operation. This paper uses video image processing technology and proposes an automatic test application for camera User Interface (UI). The experimental results show that this system can meet the test requirements for UI in camera function test, which can effectively save the time cost of UI test and improve test efficiency.

关键词： Camera Detection Technology Automatic Test hash algorithm Video Image Processing

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A Dynamic Weights Consistent hashing Load Balancing Method Based on Heuristic Optimization 3

A Dynamic Weights Consistent Hashing Load Balancing Method B...

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3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Wang, Chen Chen, Yingzheng Wang, Jingfeng Wang, Baocheng North China University of Technology Beijing China East China University of Science and Technology Shanghai China Datang Microelectronics Technology Co. Ltd Beijing China

ISBN: (纸本)9798350316674

With the increasing scale of distributed systems, Load balancing becomes a key issue to ensure system performance and scalability. However, load balancing has some limitations in dynamic environment, and it is difficult to adapt to the real-time changes of node load. In order to solve this problem, this paper -roposes a dynamic weight consistent hashing load balancing method based on heuristic optimization. The weight allocation strategy of nodes is adjusted in real time by heuristic optimization algorithm, and this strategy is further combined with consistent hashing algorithm to achieve more balanced and efficient load distribution. The experimental results show that compared with the traditional static weight distribution and other dynamic load balancing methods, the improved load balancing strategy can better adapt to the real-time changes of node load, and improve the response time and throughput of the system, which provides an efficient and innovative solution for solving the problem of dynamic load balancing. © 2023 IEEE.

关键词： dynamic weight hash algorithm heuristic optimization load balance

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Dynamical analysis and image encryption application of a novel memristive hyperchaotic system

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OPTICS AND LASER TECHNOLOGY 2021年 133卷 106553-106553页

作者： Yang, Yang Wang, Lidan Duan, Shukai Luo, Li Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Southwest Univ Coll Artificial Intelligence Chongqing 400715 Peoples R China Brain Inspired Comp & Intelligent Control Chongqi Chongqing 400715 Peoples R China Natl & Local Joint Engn Lab Intelligent Transmiss Chongqing 400715 Peoples R China Chongqing Brain Sci Collaborat Innovat Ctr Chongqing 400715 Peoples R China

In this paper, a new four-dimensional memristive hyperchaotic system is constructed based on Liu chaotic system by introducing a flux-controlled memristor model. Then the dynamic characteristics of the new system such as phase portraits, dissipation, Lyapunov exponent and power spectrum are investigated. Subsequently, a novel image encryption algorithm is designed based on the chaotic sequence generated by the proposed hyperchaotic system combining the hash algorithm and DNA sequence operations. In this image encryption algorithm, the coupling relationship between plaintext and ciphertext is established by using the hash value of plaintext image obtained by hash algorithm, and then the plaintext is decomposed into eight bit-plane, to improve the efficiency of the algorithm, only the higher four bit-plane are selected for scrambling. After scrambling, the data stream is further processed by the DNA encoding/decoding rules and DNA sequence operations to obtain the intermediate ciphertext. Finally, the ultimate encrypted image is obtained by performing order and reverse-order diffusion operations at the pixel level on the intermediate ciphertext. Experimental results and security analysis show that the proposed algorithm has excellent image encryption performance and can resist a variety of common attacks against the image encryption system.

关键词： Memristor Hyperchaotic system Image encryption hash algorithm Deoxyribonucleic acid (DNA)

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Implementation of TRNG with SHA-3 for hardware security

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MICROELECTRONICS JOURNAL 2022年 123卷 105410-105410页

作者： Kamadi, Annapurna Abbas, Zia Int Inst Informat Technol IIIT CVEST Hyderabad India

Random Number Generators (RNGs) are the solution for cryptographic applications to enhance hardware security. These RNGs ought to have three specific properties unpredictability, aperiodic, and good statistical criteria. This brief presents a True Random Number Generator (TRNG) based on Ring oscillators' jitter with MLFSR. The MLFSR is augmented with a set of prime primitive polynomials, Boolean, and non-linear functions to attain a non-linear, unpredictable, and extended sequence period. Paper mainly focused on achieving high randomness by integrated the TRNG with a new promising crypto engine Keccak as a post-processing block;leads to extensively more security in data transfer, encryption keys, data authenticity of ICs, and IoT based applications. The RNG design is coded in Verilog HDL and implemented on the FPGA Zed board. hashing is performed with a throughput of 2.4Gbps at 100 MHz either with RNG data or SHA data. Evaluated the randomness of the generated non-deterministic bitstreams (10 Mb) using the NIST 800-22 & Diehard test suite and successfully passed.

关键词： RNG TRNG PRNG HRNG MLFSR Sponge function hash algorithm Keccak Cryptography ILA FPGA Zed board NIST Diehard

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Investor attention and the pricing of cryptocurrency market

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EVOLUTIONARY AND INSTITUTIONAL ECONOMICS REVIEW 2020年第2期17卷 445-468页

作者： Zhang, Wei Wang, Pengfei Tianjin Univ Coll Management & Econ 92 Weijin Rd Tianjin 300072 Peoples R China

This paper examines the underlying relationship between investor attention measured by Google Trends and the top twenty cryptocurrencies from April 2013 to April 2018. We show the bi-directional Granger causality between investor attention and cryptocurrencies (i.e., return and volatility), which is supported by linear and nonlinear Granger causality tests. The quantile regression indicates that the high investor attention is always associated with the positive return. In the overall regression analysis based on the hash algorithm, the investor's attention can significantly predict the return and return volatility. These findings show that investor attention significantly predicts cryptocurrencies, which provide implications for cryptocurrency investors.

关键词： Investor attention Cryptocurrency market Linear and nonlinear causality Google Trends hash algorithm Quantile regression

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An improved smart key frame extraction algorithm for vehicle target recognition

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COMPUTERS & ELECTRICAL ENGINEERING 2022年 97卷 107540-107540页

作者： Wang, Jianguo Zeng, Cheng Wang, Zhongsheng Jiang, Kun Xian Technol Univ Sch Comp Sci & Engn Xian Shaanxi Peoples R China Novel Network & Detect Control Engn Lab Natl & Lo Xian Peoples R China

The smart extraction of key frames is one of the critical technologies for vehicle target recognition in the video streaming environment. Currently, the common algorithms are scale-invariant feature transform (SIFT) or background-difference method. Both algorithms have their own advantages and shortcomings. In this paper, a smart key frame extraction algorithm is proposed by combining the background difference method and SIFT feature matching algorithm, at the same time, the criterion factor K is introduced. The algorithm absorbs the idea of background difference and SIFT feature matching, and divides video frames into mutation frames and non-mutation frames. hash algorithm is used to distinguish the similarity of two frames and remove redundant frames. The local feature of video sequence is introduced to solve the problem of sharp increasing calculation for inter frame distance. Experimental results show that the improved smart key frame extraction algorithm has a lower missing frame rate and higher accuracy for vehicle target recognition.

关键词： Video streaming Vehicle recognition Key frame hash algorithm Scale-invariant feature transform Background-difference method

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Security Analysis of RFID based on Multiple Readers

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Procedia Engineering 2011年 15卷 2598-2602页

作者： Bo Jin Hongyu Jin Taiyuan University of Science and Technology Taiyuan030024China Camp Subdistrict Taiyuan030012China

RFID systems and equipments have many particularities and limitations which will bring a wide range of security issues, especially when the system contains a large number of tags and multiple readers, some of the traditional solutions are to be helpless. This paper presented a hash locks improved method based on multi-reader, and analyzed on this method.

关键词： RFID Security RFID reader Tag hash algorithm

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Top Position Sensitive Ordinal Relation Preserving Bitwise Weight for Image Retrieval

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algorithmS 2020年第1期13卷 18页

作者： Wang, Zhen Sun, Fuzhen Zhang, Longbo Wang, Lei Liu, Pingping Shandong Univ Technol Sch Comp Sci & Technol Zibo 255000 Peoples R China Jilin Univ Sch Comp Sci & Technol Changchun 130000 Peoples R China

In recent years, binary coding methods have become increasingly popular for tasks of searching approximate nearest neighbors (ANNs). High-dimensional data can be quantized into binary codes to give an efficient similarity approximation via a Hamming distance. However, most of existing schemes consider the importance of each binary bit as the same and treat training samples at different positions equally, which causes many data pairs to share the same Hamming distance and a larger retrieval loss at the top position. To handle these problems, we propose a novel method dubbed by the top-position-sensitive ordinal-relation-preserving bitwise weight (TORBW) method. The core idea is to penalize data points without preserving an ordinal relation at the top position of a ranking list more than those at the bottom and assign different weight values to their binary bits according to the distribution of query data. Specifically, we design an iterative optimization mechanism to simultaneously learn binary codes and bitwise weights, which makes their learning processes related to each other. When the iterative procedure converges, the binary codes and bitwise weights are effectively adapted to each other. To reduce the training complexity, we relax the discrete constraints of both the binary codes and the indicator function. Furthermore, we pretrain a tensor ordinal graph to decrease the time consumption of computing a relative similarity relationship among data points. Experimental results on three large-scale ANN search benchmark datasets, i.e., SIFT1M, GIST1M, and Cifar10, show that the proposed TORBW method can achieve superior performance over state-of-the-art approaches.

关键词： image retrieval binary code hash algorithm bitwise weights top-rank-sensitive ordinal-relation-preserving

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