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A Novel AES Random Mask Scheme Against Correlation Power Analysis 9th

A Novel AES Random Mask Scheme Against Correlation Power Ana...

引用

9th International Conference on computer Engineering and Networks, CENet2019

作者： Jiao, Ge Li, Lang Zou, Yi College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

With the wide application of smart card, people’s demand for the security of smart card is increasing. The Advanced Encryption Standard (AES) algorithm in smart card itself is safe enough, but the encryption algorithm is still threatened by side-channel attacks due to time, power consumption, electromagnetic radiation, and other information leakage during operation. Aiming at the shortcomings of existing mask schemes in security, a smart card AES encryption NARMS mask against side-channel attack is proposed. This scheme calculates the random mask according to the random hamming weight value and random integer, selects three rounds of random selection and NARMS random mask strategy for protection in the first, second, and ninth rounds of AES algorithm, optimizes and improves the design of the random mask and the overall process of mask protection. The mask scheme designed in this paper is comprehensively compared with ordinary AES algorithm, fixed value mask scheme and rotating S-box masking scheme (RSM). Experiments show that this scheme can effectively resist the first- and second-order correlation power analysis (CPA) attacks and has high efficiency, thus ensuring the key security of AES algorithm and privacy security of smart card application. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Smart cards

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Research on Differential Power Analysis of Lightweight Block Cipher LED 10th

Research on Differential Power Analysis of Lightweight Block...

引用

10th International Conference on computer Engineering and Networks, CENet 2020

作者： Zou, Yi Li, Lang Zhao, Hui-huang Jiao, Ge College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Human Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

LED algorithm is a new lightweight encryption algorithm proposed in CHES 2011, which is used for IOT to protect the communication security of RFID tags and smart cards. It has been found that it is possible to retrieve secret key of algorithm by appropriate analysis of the devicess power consumption, and the differential power analysis is the most powerful attack. This paper proposed a method of differential power analysis on LED algorithm. Combined with hardware circuit, it designed and implemented differential power analysis of the LED encryption system. The experimental results show that method which is proposed in this paper was cracked the 64 bits key of LED. Thus, without protection, the cipher LED would be difficult to resist differential power analysis. and according this, We provide a general analysis method of differential power analysis on other lightweight cryptographic algorithms. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Light emitting diodes

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Improved divergence-free smoothed particle hydrodynamics via priority of divergence-free solver and SOR

Improved divergence-free smoothed particle hydrodynamics via...

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作者： Wu, Maolin Liu, Shiguang Xu, Qing School of Computer Science and Technology College of Intelligence and Computing Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin China

Fluid simulation plays an important role in movie special effects, computer games, etc. In recent years, the Smoothed Particle Hydrodynamics (SPH) has become a popular fluid simulation method due to its simpler implementation and better processing capabilities for various complex scenes. Although the computational efficiency of the current SPH method has been significantly improved, there is still much room for improvement in pressure solving. This paper proposes an improved pressure solution method based on DFSPH. Firstly, we eliminate the velocity divergence of the fluid by changing the solution order of the nonpressure force and divergence solvers, thereby reducing the number of iterations required by the density solver. Secondly, the SOR method is applied to the pressure solver, furthering reducing the number of iterations of the density solver. Various experiments demonstrated that our method improves the efficiency of the solver with little decrease in stability compared to state-of-the-art methods. The speedup factor reaches between 1.35 and 1.4 at a time step of 5ms, and the more the number of particles, the faster the performance increases. © 2021 John Wiley & Sons, Ltd.

关键词： Computational efficiency

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Avoid attacks: A Federated Data Sanitization Defense in IoMT Systems

Avoid attacks: A Federated Data Sanitization Defense in IoMT...

引用

IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Chong Chen Ying Gao Siquan Huang Xingfu Yan School of Computer Science and Technology South China University of Technology Guangzhou China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application China School of Computer Science South China Normal University Guangzhou China

Malicious falsification of medical data destroys the training process of the medical-aided diagnosis models and causes serious damage to Healthcare IoMT Systems. To solve this unsupervised problem, this paper finds a robust data filtering method for various data poisoning attacks. First, we adapt the federated learning framework to project all of the clients' data features into the public subspace domain, allowing unified feature mapping to be established while their data remains stored locally. Then we adopt the federated clustering to re-group their features to clarify the poisoned data. The federated clustering is based on the consistent association of data and its semantics. Finally, we do the data sanitization with a simple yet efficient strategy. Extensive experiments are conducted to evaluate the accuracy and efficacy of the proposed defense method against data poisoning attacks.

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WeChat Public Platform for Customers Reserving Bank Branches Based IoT 9th

WeChat Public Platform for Customers Reserving Bank Branches...

引用

9th International Conference on computer Engineering and Networks, CENet2019

作者： Chen, Jie Liang, Xiaoman Zhang, Jian College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

With the development of the social economy, the amount of currency circulation has increased and become more frequent, but the customer gathering often occurs in many bank’s business. In this paper, with some framework technology, Spring Boot and MyBatis, a WeChat public platform software is developed for customers who are available to book branch business, such as branch service reservation, bank business reservation, reservation information inquiry and so on. Combined with WeChat public number and small program, the software offers humanized service and simple operation. Therefore, it can meet the needs of users who can choose a reasonable time to go to the ideal branch to handle their business quickly, which not only saves users’ time, but also improves the efficiency of the bank’s system. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Cross-View Fuzziness and Intra-view Uncertainty-Based Weight Reconstruction for Multi-view Feature Selection 11th

Cross-View Fuzziness and Intra-view Uncertainty-Based Weigh...

引用

11th International Joint Conference on Rough Sets, IJCRS 2025

作者： Xiang, Biao Chen, Hongmei Mi, Yong Sang, Binbin Horng, Shi-Jinn Li, Tianrui Institute of Artificial Intelligence School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu611756 China Engineering Research Center of Sustainable Urban Intelligent Transportation Ministry of Education Southwest Jiaotong University Chengdu611756 China Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province Southwest Jiaotong University Chengdu611756 China College of Computer and Information Science Chongqing Normal University Chongqing401331 China Department of Computer Science and Information Engineering Asia University Taichung41354 Taiwan

ISBN: (纸本)9783031927430

Weight assignment is a universal and indispensable process in multi-view feature selection. However, most existing methods overlook the fuzziness and uncertainty implied in multi-view data. This may result in improper weight assignment, degrading the quality of selected features. A cross-view fuzziness and intra-view uncertainty-based weight reconstruction method (CFIUWR) is proposed for multi-view feature selection. With the fuzzy rough set theory, fuzzy approximation operators recognize cross-view fuzziness and intra-view uncertainty, which are evaluated by classification-related measurement. Cross-view fuzziness and intra-view uncertainty are incorporated to develop a reconstruction mechanism for view and feature weights. An optimization algorithm is derived, guaranteeing rapid convergence. Comparisons with state-of-the-art methods on several real-world datasets demonstrate the superiority of the CFIUWR. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Rough set theory

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Design and Implementation of Handwritten Digit Recognition Based on K-Nearest Neighbor Algorithm 10th

Design and Implementation of Handwritten Digit Recognition B...

引用

10th International Conference on computer Engineering and Networks, CENet 2020

作者： Wang, Ying Liu, Qingyun Sun, Yaqi Zhang, Feng Zhu, Yining College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

In this paper, a handwritten digit recognition system based on K-nearest neighbor algorithm is designed and implemented. By analyzing the application principle and steps of k-nearest neighbor algorithm in machine learning classifier, we design handwritten digit recognition in Python language. In order to improve the accuracy and accuracy of handwritten character recognition, the method of smooth denoising and character segmentation methods are used to preprocess the data, extract the structure and statistical features. The experiments had shown that the accuracy of the algorithm for handwritten character recognition can reach over 97%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

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Design of a Real-Time and Reliable Multi-machine System 10th

Design of a Real-Time and Reliable Multi-machine System

引用

10th International Conference on computer Engineering and Networks, CENet 2020

作者： Zhang, Jian Li, Lang Li, Qiuping Zhao, Junxia Liang, Xiaoman College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

An IoT (Internet of Things) system is a multi-machine system composed of a master controller and multiple slave controllers. In some automatic control systems such as petroleum and electric power, the main control uses UART (Universal Asynchronous Receiver/Transmitter) to communicate with the slave controller. However, the communication rate of the UART interface is limited and the delay time is long, which affects the systems response to external events. In order to improve the response speed of the system to external events, this paper designs a multi-machine system based on SPI (Serial Peripheral Interface) interface. First, we use the SPI interface of the microcontroller to build a communication network. The circuit structure of the system is simple, and the hardware resource consumption is low. Then, for the problem that the SPI interface cannot detect communication errors and there is no response mechanism, we designed a communication protocol to make up for these defects from the software level. Finally, we use STM32F429IGT6 as the master controller and STM32F103C8T6 as the slave controller to build the experimental platform. The experimental results show that the system is safe and reliable, and can meet the requirements of real-time applications. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Controllers

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ALOHA Anti-collision Algorithm for Frame Idle Slot Removal and Collision Reduction

ALOHA Anti-collision Algorithm for Frame Idle Slot Removal a...

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作者： Deng, Hong-wei Zeng, Wei Yao, Ming Kong, Jia-li College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

In this study, we propose an ALOHA anti-collision algorithm for frame idle slot removal and collision reduction—called the Cancel Idle and Reduce Collision Framed Slotted Aloha (CIRC-FSA) algorithm—to address the collision problems of tags in mobile scenarios. The proposed algorithm is based on the radio frequency identification grouped adaptive allocating slots (GAAS) anti-collision algorithm with self-adaptive packet allocation. A combined chaotic mapping pseudo-random generator is used, the tags are initially grouped, and the frame length L is set to be much larger than the number of grouped tags X (L >> X). Furthermore, incorporating the GAAS protocol enhances the algorithm to skip idle and collision slots and improve the efficiency of tag identification. The results of simulation analysis indicate that, compared with the free framed slotted ALOHA (FSA), grouped dynamic framed slotted ALOHA (GDFSA), and cancel idle framed slotted ALOHA (CIFSA) algorithms, the proposed CIRC-FSA algorithm results in a lower tag loss rate, higher throughput, and higher recognition efficiency. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Radio frequency identification (RFID)

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An Optimized Scheme of Information Hiding-Based Visual Secret Sharing 9th

An Optimized Scheme of Information Hiding-Based Visual Secre...

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9th International Conference on computer Engineering and Networks, CENet2019

作者： Zou, Yi Li, Lang Jiao, Ge College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

Information hiding-based visual secret sharing (IH-VSS) uses the information hiding techniques to embed secret data into images. In the IH-VSS scheme, hidden images are divided into n shadows under the guidance and constraints of some predetermined methods, and only a certain number or all of the credible shadows work together to recover hidden information. Based on (2, 2)-threshold IH-VSS scheme, this paper proposes an optimized IH-VSS scheme, it can randomly locate the hidden position of the secret data. We set a random number and use it as the initial hiding position, then combined with the length of the secret data, assigns the address, and completes the hiding of the secret data. The experimental results show that under the same embedding capacity, the peak signal-to-noise ratio (PSNR) of the optimized scheme is higher than other similar schemes, which is high to 55.41 dB. Moreover, the difference between the two shadows is very small. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Signal to noise ratio

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