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International Conference on Applied System Innovation, ICASI 2015

作者： Tao, H.W. Chen, Y.X. Pang, J.M. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China MoE Engineering Center for Software/Hardware Co-Design Technology and Application East China Normal University Shanghai China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781138028937

Due to the outstanding problems of software trustworthiness, the measurement of software trustworthiness has aroused more and more concern. However, few researches pay attention to using more rigorous approaches in the measurement of software trustworthiness and carrying out the theoretical validation of measures. Axiomatic approaches by formally defining the desirable properties of the measures for software attributes can provide precise, formal, and unambiguous terms for the quantification of software attributes. We once applied axiomatic approaches to the measured software trustworthiness, presented four properties for software trustworthiness measures and gave three measures for software trustworthiness. In this paper, we propose a new property-related user expectation to establish an improved software trustworthiness measure and validate this measure from the theory point of view by proving that it complies with the five properties presented by us. A comparative study shows that this measure is better than the popular software trustworthiness measures in terms of our properties. © 2016 Taylor & Francis Group.

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A new socio-rational secret sharing scheme

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International Journal of Innovative computing and Applications 2017年第1期8卷 21-30页

作者： Jin, Jianghao Zhou, Xie Ma, Chuangui Wang, Xu'an State Key laboratory of Mathematical Engineering and Advanced Computing ZhengzhouHenan China Department of Basic Courses Army Aviation Institute Beijing China Engineering University of CAPF Xi'anShanxi China

We introduce the concept of a socio-rational secret sharing scheme, in which shares are delivered based on players' reputation and the way they contact with other participants. At the secret sharing stage, weights of players are defined such that participants who cooperate will get more shares than those who defect. Alternatively, a newcomer can be enrolled in the scheme when a corrupted player is disengaged immediately. In other words, this scheme successfully renews shares at each cycle without changing the secret, and it allows trusted participants to have a chance to obtain more authority. Our intention is that, in real world applications, participants of a secure scheme may have different levels of importance (i.e., the weight of shares a player owns) as well as reputation (i.e., cooperation with other players for the share renewal or secret recovery). Therefore, a good scheme should balance these two factors alone. In the proposed schemes, both the traditional and rational players are considered in an unconditionally secure setting. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Game theory

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Towards Efficient and Privacy-Preserving Anomaly Detection of Blockchain-Based Cryptocurrency Transactions 25th

Towards Efficient and Privacy-Preserving Anomaly Detection ...

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25th International Conference on Information and Communications Security, ICICS 2023

作者： Song, Yuhan Zhu, Yuefei Wei, Fushan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Henan Key Laboratory of Network Cryptography Technology Zhengzhou China

ISBN: (纸本)9789819973552

In recent years, a growing number of breaches targeting cryptocurrency exchanges have damaged the credibility of the entire cryptocurrency ecosystem. To prevent further harm, it’s crucial to detect the anomalous behaviors hidden within cryptocurrency transactions and offer predictive suggestions. However, details of transaction records must be carefully analyzed for effective detection, and this information could be exploited by adversaries to launch attacks such as de-anonymization and model interference. As a result, it is essential to prioritize privacy preservation when designing an anomaly detection system for cryptocurrency transactions. In this paper, we propose a privacy-preserving anomaly detection (PPad) scheme for cryptocurrency transactions based on a decision tree model, which achieves privacy preservation by using additively homomorphic encryption and matrix perturbation techniques. We also design and implement PPad’s underlying protocol in a cloud outsourcing environment. The correctness and privacy properties of PPad have been proven through detailed analysis. Experimental results show that our scheme can offer privacy assurance with desirable detection effectiveness and efficiency, making it suitable for real-world applications. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision trees

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Spreading Dynamics of Random Walks in Complex Networks 8

Spreading Dynamics of Random Walks in Complex Networks

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8th International Conference on Information Technology: IoT and Smart City, ICIT 2020

作者： Hao, Yaohui Liu, Hongbo Sun, Jiajia Gao, Liwei Information Engineering University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9781450388559

The study of spreading dynamics is an important foundation to analyze the spread of viruses orrumors. The general method of analyzing spreading dynamics is based on model, such as SI model, SISmodel, SIR model,ect. However, the spreading dynamics in the network is affected by many factors and represents some randomicity. So, in this paper, we propose Random Walks(RW) spreading model for opinions to illustrate the spreading behavior in networks, for instance, the random networks and BA scale-free networks. With MonteCarlo simulation method, the results show that the spreading speed of BA scale-free network is more quickly than that of ER random network, when the spreading probability β is small. But, with the increase of β, the spreading speed of ER random network increases gradually and exceeds that of BA scale-free network. © 2020 ACM.

关键词： Complex networks

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A Relation-Oriented Method for Joint Entity and Relation Extraction Based on Neural Network 21

A Relation-Oriented Method for Joint Entity and Relation Ext...

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5th International Conference on Electronic Information Technology and Computer engineering, EITCE 2021

作者： Hu, Hongwei Yin, Meijuan Liu, Xiaonan Key Laboratory of Cyberspace Situation Awareness of Henan Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781450384322

Entity and relation extraction is a basic task of information extraction in natural language processing. At present, Entity and relation extraction based on artificial intelligence has been widely studied, but most methods adopt the idea of identifying the entity first and then extracting the relation, which suffers from the problems of overlapping triple and entity redundancy. We propose a Relation-Oriented method for Joint Entity and Relation Extraction (ROJER), which first extracts the relation types contained in the text through the relation extraction module, then the pre-extracted relation types are integrated into the entity recognition module, reduce the focus on irrelevant entities and avoid extracting redundant entities. Then the entity pairs corresponding to the extracted relation types are identified to tackle the overlapping triple problem and finally extract all the relation triples. Experiments on the DuIE dataset show that the F1 score of ROJER reaches 78.4%, which is 1.2% higher than the CasRel model, confirming the validity of our method. © 2021 ACM.

关键词： Artificial intelligence

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THE RELAXING SCHEMES FOR HAMILTON-JACOBI EQUATIONS

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计算数学(英文版) 2001年第3期19卷 231-240页

作者： Hua-zhong Tang Hua-zhong Tang Hua-mu Wu State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems SciencesChinese Academy of Sciences Beijing 100080 China School of Mathematical Sciences Peking University Beijing 100871 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems SciencesChinese Academy of Sciences Beijing 100080 China

Hamilton-Jacobiequation appears frequently in applications, e.g., in differential games and control theory, and is closely related to hyperbolic conservation laws[3, 4, 12]. This is helpful in the design of difference approximations for Hamilton-Jacobi equation and hyperbolic conservation laws. In this paper we present the relaxing system for HamiltonJacobiequations in arbitrary space dimensions, and high resolution relaxing schemes for Hamilton-Jacobi equation, based on using the local relaxation approximation. The schemes are numerically tested on a variety of 1D and 2D problems, including a problem related to optimal control problem. High-order accuracy in smooth regions, good resolution of discontinuities, and convergence to viscosity solutions are observed.

关键词： The relaxing scheme The relaxing systems Hamilton-Jacobi equation Hyperbolic conservation laws.

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Power-Aware Data Management Based on Hybrid RAM-NVM Memory for Smart Bracelet

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Journal of Electronic Science and Technology 2017年第4期15卷 385-390页

作者： Jin-Yu Zhan Jun-Huan Yang Wei Jiang Yi-Xin Li Yi-Ming Zhang School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu 610054 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi 214000China

Wearable devices become popular because they can help people observe health *** battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years because of its fast reading and writing speed, high density, persistence, and especially low idle power. With its low idle power consumption,NVM can be applied in wearable devices to prolong the battery lifetime such as smart bracelet. However, NVM has higher write power consumption than dynamic random access memory(DRAM). In this paper, we assume to use hybrid random access memory(RAM)and NVM architecture for the smart bracelet *** paper presents a data management algorithm named bracelet power-aware data management(BPADM) based on the architecture. The BPADM can estimate the power consumption according to the memory access, such as sampling rate of data, and then determine the data should be stored in NVM or DRAM in order to satisfy low power. The experimental results show BPADM can reduce power consumption effectively for bracelet in normal and sleeping modes.

关键词： Hybrid memory non-volatile memory(NVM) power-aware smart bracelet

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Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony 4th

Potential Indicator for Continuous Emotion Arousal by Dyna...

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4th International Workshop on Human Brain and Artificial Intelligence, HBAI 2024

作者： Pan, Guandong Wu, Zhaobang Yang, Yaqian Wang, Xin Liu, Longzhao Zheng, Zhiming Tang, Shaoting School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Key Laboratory of Mathematics Informatics and Behavioral Semantics Beihang University Beijing100191 China Institute of Medical Artificial Intelligence Binzhou Medical University Yantai264003 China Zhongguancun Laboratory Beijing100094 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University Beijing100191 China PengCheng Laboratory Shenzhen518055 China State Key Lab of Software Development Environment Beihang University Beijing100191 China

ISBN: (纸本)9789819640003

The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this through manual human annotations is challenging. Inspired by inter-subject correlation (ISC) utilized in neuroscience, this study introduces a novel Electroencephalography (EEG) based ISC methodology that leverages a single-electrode and feature-based dynamic approach. Our contributions are three folds: Firstly, we reidentify two potent emotion features suitable for classifying emotions-first-order difference (FD) an differential entropy (DE). Secondly, through the use of overall correlation analysis, we demonstrate the heterogeneous synchronized performance of electrodes. This performance aligns with neural emotion patterns established in prior studies, thus validating the effectiveness of our approach. Thirdly, by employing a sliding window correlation technique, we showcase the significant consistency of dynamic ISCs across various features or key electrodes in each analyzed film clip. Our findings indicate the method’s reliability in capturing consistent, dynamic shared neural synchrony among individuals, triggered by evocative film stimuli. This underscores the potential of our approach to serve as an indicator of continuous human emotion arousal. The implications of this research are significant for advancements in affective computing and the broader neuroscience field, suggesting a streamlined and effective tool for emotion analysis in real-world applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electroencephalography (EEG) Emotion Annotation Inter-subject Correlation

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Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony

arXiv

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arXiv 2025年

作者： Pan, Guandong Wu, Zhaobang Yang, Yaqian Wang, Xin Liu, Longzhao Zheng, Zhiming Tang, Shaoting School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Key laboratory of Mathematics Informatics and Behavioral Semantics Beihang University Beijing100191 China Institute of Medical Artificial Intelligence Binzhou Medical University Yantai264003 China Zhongguancun Laboratory Beijing100094 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University Beijing100191 China PengCheng Laboratory Shenzhen518055 China State Key Lab of Software Development Environment Beihang University Beijing100191 China

The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this through manual human annotations is challenging. Inspired by inter-subject correlation (ISC) utilized in neuroscience, this study introduces a novel Electroencephalography (EEG) based ISC methodology that leverages a single-electrode and feature-based dynamic approach. Our contributions are three folds: Firstly, we reidentify two potent emotion features suitable for classifying emotions—first-order difference (FD) an differential entropy (DE). Secondly, through the use of overall correlation analysis, we demonstrate the heterogeneous synchronized performance of electrodes. This performance aligns with neural emotion patterns established in prior studies, thus validating the effectiveness of our approach. Thirdly, by employing a sliding window correlation technique, we showcase the significant consistency of dynamic ISCs across various features or key electrodes in each analyzed film clip. Our findings indicate the method’s reliability in capturing consistent, dynamic shared neural synchrony among individuals, triggered by evocative film stimuli. This underscores the potential of our approach to serve as an indicator of continuous human emotion arousal. The implications of this research are significant for advancements in affective computing and the broader neuroscience field, suggesting a streamlined and effective tool for emotion analysis in real-world applications. © 2025, CC BY-NC-SA.

关键词： Neurons

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Collision attack framework on RIPEMD-128 2

Collision attack framework on RIPEMD-128

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2nd International Conference on Artificial Intelligence and advanced Manufacture, AIAM 2020

作者： Li, Jingyu Zeng, Guang Yang, Yang State Key Laboratory of Mathematical Engineering and Advanced Computing PLA Strategic Force Information Engineering University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing PLA Information Engineering University Zhengzhou China Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728199863

In the last few years, the hash functions are the very common and essential primitives implemented in lots of fields. RIPEMD-128, a member of MD-family hash function, has been found collisions on the full round. In this paper, we further analyze the property about the security against collision attack of RIPEMD-128. The collision attack framework for RIPEMD-128 is proposed in order to provide ideas for other hash functions. The framework consists of three parts namely choosing a message word difference insertion, constructing differential characteristics and collision search phase. Cryptographic techniques including message modification is also introduced to reduce the complexity. © 2020 IEEE.

关键词： Hash functions

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