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An Effective Remote Data Disaster Recovery Plan for the Space TT&C System 1

3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020

作者： Han, Weijie Xue, Jingfeng Zhang, Fuquan Sun, Zhonghui School of Computer Science and Technology Beijing Institute of Technology Beijing China School of Space Information Space Engineering University Beijing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China Baicheng Weapon Test Center of China Baicheng137001 China

ISBN: (数字)9783030624606

ISBN: (纸本)9783030624590

The critical asset data of the Space Tracking Telemetry and Command (TT&C) System plays an important role in fulfilling space missions. According to analyze the current storing methods and disaster recovery requirements of the data, the remote data disaster recovery techniques are studied based on the remote replication capability of the Oracle database, and the remote data disaster recovery plan is developed for the space TT&C system. Furthermore, the experiment is conducted to validate the plan by building a simulation environment. The experiment results demonstrate that the plan can reach the fifth degree of the disaster recovery level and satisfy the following three performance requirements including recoverability, reliability and real-time performance, and therefore realize remote disaster recovery of the critical asset data for the space TT&C system efficiently. © 2020, Springer Nature Switzerland AG.

关键词： Disasters

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A hybridized parallel bats algorithm for combinatorial problem of traveling salesman

A hybridized parallel bats algorithm for combinatorial probl...

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作者： Nguyen, Trong-The Qiao, Yu Pan, Jeng-Shyang Chu, Shu-Chuan Chang, Kuo-Chi Xue, Xingsi Dao, Thi-Kien Intelligent Information Processing Research Center Fujian University of Technology Fujian Fuzhou China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fujian China College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China Department of Information Technology University of Manage and Technology Haiphong Viet Nam

Metaheuristic algorithms have been applied widely for real-world problems in many fields, e.g., engineering, financial, healthcare. Bats algorithm (BA) is a recent metaheuristic algorithm with considering as a robust optimization method that can outperform existing algorithms. However, when dealing with complicated combinatorial problems such as traveling salesman problems (TSP), the BA can be fallen in a local optimum. This paper proposes a new hybridizing Parallel BA (HPBA) with a mutation in local-search to escape such its drawback scenario for TSP. A graph theory mutation method is used to embed for hybridizing BA with exploiting similarities among individuals. The proposed method is extensively evaluated in TSP with series instances of the benchmark from TSPLIB to test its performance. The compared experimental result with the previous method and the best-known solutions (B.K.S) in the literature shows that the proposed approach offers competitive results. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Traveling salesman problem

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ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions

arXiv

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arXiv 2023年

作者： Luo, Cheng Song, Siyang Xie, Weicheng Spitale, Micol Ge, Zongyuan Shen, Linlin Gunes, Hatice Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China Department of Computer Science University of Nottingham Ningbo China Ningbo315100 China Computer Sciences University of Exeter ExeterEX4 4PY United Kingdom Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FT United Kingdom Airdoc-Monash Research Centre Monash University Faculty of IT Monash University Melbourne Australia

In dyadic interaction, predicting the listener’s facial reactions is challenging as different reactions could be appropriate in response to the same speaker’s behaviour. Previous approaches predominantly treated this task as an interpolation or fitting problem, emphasizing deterministic outcomes but ignoring the diversity and uncertainty of human facial reactions. Furthermore, these methods often failed to model short-range and long-range dependencies within the interaction context, leading to issues in the synchrony and appropriateness of the generated facial reactions. To address these limitations, this paper reformulates the task as an extrapolation or prediction problem, and proposes an novel framework (called ReactFace) to generate multiple different but appropriate facial reactions from a speaker behaviour rather than merely replicating the corresponding listener facial behaviours. Our ReactFace generates multiple different but appropriate photo-realistic human facial reactions by: (i) learning an appropriate facial reaction distribution representing multiple different but appropriate facial reactions;and (ii) synchronizing the generated facial reactions with the speaker verbal and non-verbal behaviours at each time stamp, resulting in realistic 2D facial reaction sequences. Experimental results demonstrate the effectiveness of our approach in generating multiple diverse, synchronized, and appropriate facial reactions from each speaker’s behaviour. The quality of the generated facial reactions is intimately tied to the speaker’s speech and facial expressions, achieved through our novel speaker-listener interaction modules. Our code is made publicly available at https://***/lingjivoo/ReactFace. Copyright © 2023, The Authors. All rights reserved.

关键词： Extrapolation

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LasHeR: A large-scale high-diversity benchmark for RGBT tracking

arXiv

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arXiv 2021年

作者： Li, Chenglong Xue, Wanlin Jia, Yaqing Qu, Zhichen Luo, Bin Tang, Jin Sun, Dengdi Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China

RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential for both the training of deep RGBT trackers and the comprehensive evaluation of RGBT tracking methods. To this end, we present a Large-scale High-diversity benchmark for short-term RGBT tracking (LasHeR) in this work. LasHeR consists of 1224 visible and thermal infrared video pairs with more than 730K frame pairs in total. Each frame pair is spatially aligned and manually annotated with a bounding box, making the dataset well and densely annotated. LasHeR is highly diverse capturing from a broad range of object categories, camera viewpoints, scene complexities and environmental factors across seasons, weathers, day and night. We conduct a comprehensive performance evaluation of 12 RGBT tracking algorithms on the LasHeR dataset and present detailed analysis. In addition, we release the unaligned version of LasHeR to attract the research interest for alignment-free RGBT tracking, which is a more practical task in real-world applications. The datasets and evaluation protocols are available at: https://***/mmic-lcl/Datasets-and-benchmark-code. Copyright © 2021, The Authors. All rights reserved.

关键词： Large dataset

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Research on Differential Power Analysis of Lightweight Block Cipher LED

Research on Differential Power Analysis of Lightweight Block...

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

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 devices' s 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.

关键词： Lightweight block cipher Differential power analysis LED

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WeChat Public Platform for Customers Reserving Bank Branches Based IoT

WeChat Public Platform for Customers Reserving Bank Branches...

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

With the developing of the social economy,the amount of currency circulation has increased and become more frequent,but the customer gathering is often occurred in the many bank's *** 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 *** with WeChat public number and small program,the software offers humanized service and simple ***,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.

关键词： Reservation Branch WeChat public platform

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The Optimal Implementation of Khudra Lightweight Block Cipher

The Optimal Implementation of Khudra Lightweight Block Ciphe...

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作者： Xiantong Huang Lang Li Ying Guo College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

In this paper,we discuss the area and speed balance optimization of Khudra lightweight block *** are three major ***,because the whole structure of the Khudra block cipher and its F-function are based on a Feistel structure,we make the main module directly call the Ffunction in the hardware optimization ***,through the clock control,the plaintext can be XORed with the key and the round constant under certain *** the same time,the 3 rounds of the F-function are merged into one module,whose F-function module contains the F-function of the left and right branches of the ***,three rounds of operations can be completed with only one S-box,which can effectively reduce the number of registers and the number of iterations to increase the encryption and decryption ***,because of the particularity of key expansion in Khudra,we separately calculated the round key and stored its results in the register,which can effectively save the time of key expansion.

关键词： Lightweight block cipher Khudra Optimization FPGA implementation

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Research on Task Scheduling in Distributed Vulnerability Scanning System

Research on Task Scheduling in Distributed Vulnerability Sca...

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作者： Jie Jiang Sixin Tang College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Network threats caused by system vulnerabilities is increasing gradually, the distributed vulnerability scanning system can scan large-scale and complex networks and report the vulnerability information. Task scheduling is one of the core components in a distributed system. In this paper, we use dynamic optimization algorithms to improve the task scheduling efficiency of distributed vulnerability scanning system, we propose a PSO-based task scheduling scheme and improves the search ability of particles by adjusting algorithm parameters. We compared the time consume when using existing‘Resource Aware Scheduling algorithm'(RASA) with the basic particle swarm optimization(PSO) algorithm and the improved particle swarm optimization(IPSO) algorithm. Our results show that IPSO has better performance than other scheduling methods.

关键词： Vulnerability scanning Distributed Task scheduling PSO algorithm

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An Optimized Scheme of information Hiding-Based Visual Secret Sharing

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

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

information hiding-based visual secret sharing(IH-VSS) uses the information hiding techniques to embed secret data into *** 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 *** 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 *** 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 *** 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 ***,the difference between the two shadows is very small.

关键词： IH-VSS Reference matrix Random position

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A Image Adaptive Steganography Algorithm Combining Chaotic Encryption and Minimum Distortion Function

A Image Adaptive Steganography Algorithm Combining Chaotic E...

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作者： Ge Jiao Jiahao Liu Sheng Zhou Ning Luo College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Digital image has the characteristics of high redundancy and convenient processing, which is the ideal carrier of information hiding ***, digital image steganography has become a hot research direction in the field of information security. In order to ensure the concealment, reliability and security of image steganographic information, an image adaptive steganographic algorithm combining chaotic encryption and minimum distortion function is designed. The algorithm generates random keys, encrypt the secret information using Logistic and ChebyShev mapping, and then embeds the key and the encrypted secret information into the carrier image using the HILL steganographic algorithm. The algorithm stores the embedded key and the decryption key separately, so the attacker cannot get the correct secret information even if he gets the embedded key, which improves the security of the key. Experiments show that the pixel change rate of the algorithm is 6.76%, the peak signal-to-noise ratio is 59.51 db, and it has a very good anti-steganographic analysis ability.

关键词： Image adaptive steganography Chaotic encryption Cost PSNR

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