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Clock error model for single point two-channel linked network probe system

Dalian Ligong Daxue Xuebao/Journal of Dalian University of technology 2005年第SUPPL.期45卷 S55-S58页

作者： Gong, Jian Xu, Jia-Ling Jiangsu Province Key Laboratory of Computer Network Technology Nanjing 210096 China East China Regional Network Center of CERNET Nanjing 210096 China Computer Science and Engineering Dept. Southeast University Nanjing 210096 China

network measurement technology has been one of the hot topics of nowadays Internet technology research. Clock error is the main and direct source of errors in network measurement. Traditionally, the research works on network measurement merely focusing on how to rectify the result and improve clock precision, but neglect the inevitable clock error's effect on measurement result. While this situation is inadaptable for quantified description of time error in distributed cooperative measurement, this paper, integrating the error and precision analysis theory and taking into consideration the features of network passive measurement, represents a clock error model for single point two-channel linked network probe system, and brings in uncertainty to quantificational description of precision and rationality of measurement result.

关键词： Internet

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Multicast encryption method based on RSA and key management model

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Dalian Ligong Daxue Xuebao/Journal of Dalian University of technology 2005年第SUPPL.期45卷 S122-S125页

作者： Zhou, Jie Zhang, Jin-Huan Wang, Quan-Di School of Mathematical Sciences South China University of Technology Guangzhou 510640 China Guangdong Key Laboratory of Computer Network South China University of Technology Guangzhou 510640 China

The efficiency of re-keying is a main factor that influences the performance of secure multicast. In order to avoid re-keying of secure multicast, enhance the key management and raise the secure multicast efficiency, a new thought of multicast encryption based on the requirement of secure multicast is raised. Through some improvement to the RSA public key system, a new method of multicast encryption is put forward and then corresponding key management model is given. By analyses, the new algorithm based on RSA can perform the function that there is one key for encryption and many keys for decryption. The key management model needs no re-keying when any member changes and can satisfy the requirements of secure multicast of forward/backward confidentiality and collusion freedom.

关键词： Public key cryptography

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Building grid monitoring system based on Globus Toolkit: Architecture and implementation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3314卷 353-358页

作者： He, Kejing Dong, Shoubin Zhang, Ling Song, Binglin Guangdong Key Laboratory of Computer Network South China University of Technology Guangzhou 510641 China

Computational Grids, coupling geographically distributed resources, have emerged as a next generation computing platform for solving large-scale problems in scientific arena. Monitoring these Grid computing resources, which not only helps end-users monitor the status of Grid resources, but also provides quick and comprehensive information for resource scheduling and management, becomes extremely important for efficiently using Grid Computing resource. This paper presents architecture and implementation of a Grid Monitoring System based on Globus Toolkit. The Grid Monitoring System presented in this paper is flexible, extensible and, most important, secure. The architecture and implementation presented in this paper has important practical value for the monitoring of China Education and Research Grid. © Springer-Verlag 2004.

关键词： Architecture

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A risk assessment approach for network information system

A risk assessment approach for network information system

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yong-Zheng Zhang Bin-Xing Fang Xiao-Chun Yun National Computer Information Content Security Key Laboratory Harbin Institute of Technology Harbin Heilongjiang China Research Center of Computer Network and Information Security Technology Harbin Institute of Technology Harbin Heilongjiang China

ISBN: (纸本)0780384032

Currently, risk assessment has been an effective technology of protecting network information system. In order to achieve more accurate result, a new assessment approach is presented in this paper. Our approach introduces the idea of network node correlation (NNC), and based on NNC, we give the conception and characteristic of risk propagation. Also, we design a quantitative taxonomy of network node, and describe the assessment process. Compared with other works, our approach more truly reflects the existence of the correlative risk.

关键词： Risk management Information systems computer networks Information security Taxonomy computer security National security Laboratories Electronic mail Protection

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An architecture for intrusion detection using honey pot

An architecture for intrusion detection using honey pot

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Zhi-Hong Tian Bin-Xing Fang Xiao-Chun Yun National Computer Information Content Security Key Laboratory Harbin Institute of Technology Harbin Heilongjiang China National Computer Network and Information System Security Administration Center Beijing China

ISBN: (纸本)0780378652

The most common shortcomings in the existing intrusion detection systems (IDSs) are information overload, unknown attacks, false positives and false negatives. We present the design of AAIDHP (an architecture for intrusion detection using honey pot). This approach solves the problems previously mentioned. As a component, the honey pot cooperates with IDS, which increases flexibility, configurability and security of IDS. We also present the definition of the honey pot, the description of this approach and a discussion of design and implementation issues.

关键词： Intrusion detection computer security Information security Distributed computing Production Telecommunication traffic computer architecture computer networks Protection Laboratories

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The precaution of the network virus and the quantitative analysis of the epidemic situation

The precaution of the network virus and the quantitative ana...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Bai-Ling Wang Bin-Xing Fang Xiao-Chun Yun National Computer Information Content Security Key Laboratory Harbin Institute of Technology Harbin Heilongjiang China National Computer Network and Information System Security Administration Center Beijing China

ISBN: (纸本)0780378652

Comparing with the traditional host virus, the network virus has more attack ability and is more infectious in open network environment. So it is necessary to set a national virus precaution system to detect and control the network virus epidemic situation. In this paper, a distributed broadband network virus precaution model is introduced. It analyzes the data in the network and discovers the coming virus epidemic situation in time. The quantitative analysis of broadband network virus epidemic situation is given, too. According to the result, we can collect the scale, the speed and the direction of the epidemic situation. Consequently, we can establish effect control policy to reduce harm.

关键词： Internet computer networks Control systems Broadband communication computer security Information security National security Distributed computing Information analysis Information systems

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A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions

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ACM Computing Surveys 1000年

作者： Md Palash Uddin Yong Xiang Mahmudul Hasan Jun Bai Yao Zhao Longxiang Gao School of Information Technology Deakin University Burwood Australia Deakin University Burwood Australia Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Shandong Academy of Sciences Qilu University of Technology Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China

Federated Learning (FL) has emerged as a promising paradigm for training machine learning models across distributed devices while preserving their data privacy. However, the robustness of FL models against adversarial data and model attacks, noisy updates, and label-flipped data issues remain a critical concern. In this paper, we present a systematic literature review using the PRISMA framework to comprehensively analyze existing research on robust FL. Through a rigorous selection process using six key databases (ACM Digital Library, IEEE Xplore, ScienceDirect, Springer, Web of Science, and Scopus), we identify and categorize 244 studies into eight themes of ensuring robustness in FL: objective regularization, optimizer modification, differential privacy employment, additional dataset requirement and decentralization orchestration, manifold, client selection, new aggregation algorithms, and aggregation hyperparameter tuning. We synthesize the findings from these themes, highlighting the various approaches and their potential gaps proposed to enhance the robustness of FL models. Furthermore, we discuss future research directions, focusing on the potential of hybrid approaches, ensemble techniques, and adaptive mechanisms for addressing the challenges associated with robust FL. This review not only provides a comprehensive overview of the state-of-the-art in robust FL but also serves as a roadmap for researchers and practitioners seeking to advance the field and develop more robust and resilient FL systems.

关键词： Federated Learning Robustness Attack Countermeasure Defence.

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Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis

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ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Peng Xiao Dajiang Chen Zhen Qin Mingsheng Cao Ruidong Chen Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China China School of Computer Science & Engineering University of Electronic Science and Technology of China China

With the emergence of edge computing, there’s a growing need for advanced technologies capable of real-time, efficient processing of complex data on edge devices, particularly in mobile health systems handling pathological images. On edge computing devices, the lightweighting of models and reduction of computational requirements not only save resources but also increase inference speed. Although many lightweight models and methods have been proposed in recent years, they still face many common challenges. This paper introduces a novel convolution operation, Dynamic Scalable Convolution (DSC), which optimizes computational resources and accelerates inference on edge computing devices. DSC is shown to outperform traditional convolution methods in terms of parameter efficiency, computational speed, and overall performance, through comparative analyses in computer vision tasks like image classification and semantic segmentation. Experimental results demonstrate the significant potential of DSC in enhancing deep neural networks, particularly for edge computing applications in smart devices and remote healthcare, where it addresses the challenge of limited resources by reducing computational demands and improving inference speed. By integrating advanced convolution technology and edge computing applications, DSC offers a promising approach to support the rapidly developing mobile health field, especially in enhancing remote healthcare delivery through mobile multimedia communication.

关键词： Internet of things edge computing dynamic scalable convolution deep learning lightweight

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S3 Agent: Unlocking the Power of VLLM for Zero-Shot Multi-modal Sarcasm Detection

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ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Peng Wang Yongheng Zhang Hao Fei Qiguang Chen Yukai Wang Jiasheng Si Wenpeng Lu Min Li Libo Qin School of Computer Science and Engineering Central South University China National University of Singapore Singapore Harbin Institute of Technology China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology (Shandong Academy of Sciences) China

Multi-modal sarcasm detection involves determining whether a given multi-modal input conveys sarcastic intent by analyzing the underlying sentiment. Recently, vision large language models have shown remarkable success on various of multi-modal tasks. Inspired by this, we systematically investigate the impact of vision large language models in zero-shot multi-modal sarcasm detection task. Furthermore, to capture different perspectives of sarcastic expressions, we propose a multi-view agent framework, S3 Agent, designed to enhance zero-shot multi-modal sarcasm detection by leveraging three critical perspectives: superficial expression, semantic information, and sentiment expression. Our experiments on the MMSD2.0 dataset, which involves six models and four prompting strategies, demonstrate that our approach achieves state-of-the-art performance. Our method achieves an average improvement of 13.2% in accuracy. Moreover, we evaluate our method on the text-only sarcasm detection task, where it also surpasses baseline approaches.

关键词： Natural language processing Multi-modal sarcasm detection Vision Large language model

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ChaseCharge: Charging Sensors by Chasing in Sensor-Cloud Systems

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ACM Transactions on Sensor networks 1000年

作者： Chi Lin Rui Guo Chaocan Xiang Yi Wang Qiang Lin School of Software Technology Dalian University of Technology Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province China The College of Computer Science Chongqing University Chongqing China The DUT-RU International School of Information Science and Engineering Dalian University of Technology Dalian China School of Maritime Economics and Management Dalian Maritime University Collaborative Innovation Center for Transport Studies Dalian Maritime University The party school of municipal Party committee of Dalian China

The recent breakthrough in wireless power transfer technology enables power to be delivered between transceivers, which is quite helpful for sensor-cloud systems. Traditional charging schemes are only suitable for static sensors, while the issue of charging mobile sensors is ignored. In this paper, we make the first attempt to serve mobile sensors in the sensor-cloud systems in a “chasing” way, where a mobile charger can chase mobile sensors to replenish them. We formalize the charging utility MAximization Problem for dynamic sensors with a mobile charger (MAP) and propose a ChaseCharge algorithm based on RNN to solve it. Theoretical analyses are presented to explore the features of the proposed scheme. We carry out simulations, and the results show that the performance of our algorithm outperforms comparison algorithms by 33% in utility on average. Test-bed experiments are conducted to validate the applicability of the proposed scheme in oceanic monitoring applications.

关键词： Wireless Rechargeable Sensor network Mobile Charging RNN

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