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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Jianbo Lin Lin Yan Zhi Lin Zan Zhou Shujie Yang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

In the contemporary digital landscape, distributed Denial of Service (DDoS) attacks pose a significant threat to the availability and integrity of online services. As cloud services and network infrastructures increasingly adopt distributed architectures, the challenge of defending against these attacks has become more complex. This paper introduces ClusterX, a novel two-tiered scheduling framework designed to enhance DDoS defense and service quality in distributed clusters. ClusterX incorporates Moving Target Defense (MTD) principles with a hierarchical, collaborative approach, featuring Program Chairs and Area Chairs that dynamically manage user-proxy mappings to counteract the fluid nature of DDoS attacks. The architecture of ClusterX is underpinned by a proactive transfer mechanism, which leverages user-service activity profiles to intelligently redistribute user traffic across clusters. This mechanism ensures that no single cluster becomes a bottleneck, maintaining low latency and high service quality even under high traffic conditions. Program Chairs oversee the global traffic distribution, while Area Chairs execute localized scheduling decisions, working in tandem to prevent traffic congestion and enhance the resilience of the network. Through extensive simulations and real-world experiments, we demonstrate the effectiveness of ClusterX in detecting and mitigating DDoS attacks, while maintaining high service availability. The results highlight the superiority of our approach in adapting to the dynamic nature of modern cyber threats and the benefits of a coordinated defense strategy in distributed cloud environments. ClusterX represents a significant advancement in the field of network security, offering a robust and adaptive solution to one of the most pressing challenges in cybersecurity today.

关键词： Privacy Processor scheduling Collaboration Denial-of-service attack User experience Real-time systems Computer crime Surges Traffic congestion Resilience

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CVchain: A Cross-Voting-Based Low Latency Parallel Chain System

CVchain: A Cross-Voting-Based Low Latency Parallel Chain Sys...

引用

IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Jianrong Wang Yacong Ren Dengcheng Hu Qi Li Sen Li Xuewei Li Xiulong Liu College of Intelligence and Computing Tianjin University China School of Electrical and Information Engineering Tianjin University China School of Future Technology Tianjin University China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Despite existing parallel chain systems improving blockchain throughput by allowing concurrent blocks to be appended, challenges such as the excessive number of waiting blocks before confirmation and the inconsistency between block generation order and global confirmation sequence still persist. To address these challenges, we propose CVchain, a parallel chain system with a cross-voting mechanism. Blocks from other subchains are incorporated into the consistency determination of the main chain, reducing the probability of confirmation errors. Our global sorting mechanism leverages both real-time height information and the implicit temporal order contained in voting to improve the accuracy of block ordering. Furthermore, our voting mechanism randomly splits the mining power of the system, preventing targeted attacks on the specific subchain and defending against liveness attacks. We prove the safety and liveness properties of CVchain. We demonstrated its performance with a prototype implementation and large-scale experiments involving 200 nodes across 10 cloud servers in a distributed network environment. The results indicate that CVchain achieves a latency reduction of approximately 32.3% at a confirmation error probability of 0.01 while maintaining throughput levels comparable to OHIE. Additionally, it provides enhanced transaction ordering services.

关键词： Accuracy Scalability Prototypes Throughput Real-time systems Safety Servers Security Low latency communication Sorting

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Guest Editorial: Cooperative Information systems in the Digital Age

引用

international Journal of Cooperative Information systems 2016年第4期25卷

作者： Rosemann, Michael School of Information Systems Faculty of Science and Engineering Queensland University of Technology Science and Engineering Centre Brisbane QLD Australia

Cooperative information systems (CIS) are at the core of a digital economy that is dedicated to providing hyper-connected citizens with access to intuitive and sophisticated technology. No longer are commercial applications the only driver of development activities, but wider societal and individual deployment areas are now explored. CIS researchers have for more than two decades studied the nature and requirements of cooperative systems linking latest technologies with hybrid user bases. However, the current opportunity-rich landscape of digital technologies such as mobile and social computing, advanced data analytics, robotic process automation or smart devices has triggered entire new, exciting research questions. In light of this setting, the 23rd international conference on Cooperative Information systems took place within the context of the 14th OnTheMove Federated conferences and workshops in Rhodes, Greece, in October 2015. This Special Issue features the carefully selected and comprehensively reviewed best papers from this event. © 2016 World Scientific Publishing Company.

关键词： Cooperative information systems democratized information systems digital economy

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STGCN-Based Link Flooding Attack Detection and Mitigation in Software-Defined Network

STGCN-Based Link Flooding Attack Detection and Mitigation in...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Yue Li Runcheng Fang Qipeng Song Xilei Yang School of Cyber Engineering Xidian University Xi’an China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Link Flooding Attacks (LFA) are increasingly challenging the availability and stability of Software-Defined Networks (SDN), leveraging their distributed and covert nature to escape detection. Existing methods such as packet analysis and behavioral patterns struggle with pinpointing specific target attack paths due to the dynamic routing and distribution of attack traffic across multiple entry points, making it difficult to implement defensive measures effectively. This paper introduces a novel detection method using a Spatial-Temporal Graph Convolutional Network (STGCN), which combines the strengths of Convolutional Neural Networks (CNN) for temporal pattern recognition and Graph Neural Networks (GNN) for spatial topology analysis. Unlike traditional approaches, our model leverages In-Band Network Telemetry (INT) for real-time traffic and topology monitoring, enhancing our ability to pinpoint and mitigate LFAs. We innovatively transform the detection of attacked links into a dual-point anomaly detection problem, significantly increasing the accuracy of identifying compromised links. Experimental results demonstrate that our method not only achieves high detection accuracy but also ensures the efficient use of network resources, making it particularly effective for resource-constrained environments.

关键词： Accuracy Network topology Transforms Routing Stability analysis Real-time systems Topology Security Telemetry Software defined networking

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A review of data security research in energy storage systems

A review of data security research in energy storage systems

引用

IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Meiqi Liu Yongqiang Chen Chaoyang Zhu Shuang Yao Jingfeng Rong Xiaolong Zhao Xijuan Si Guang Yang Yuqing Zhang College of Information Science and Engineering Yanshan University Qinhuangdao China China Electric Power Research Institute Beijing China College of Cyberspace Security Hainan University Haikou China College of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Beijing HyperStrong Technology Co. Ltd Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Energy storage is an important part of the new power system, responsible for ensuring stable power output and balancing loads. At the same time, it is also a national critical infrastructure. As the country gradually strengthens its control over data security risks of critical infrastructure, data security issues in the energy storage industry have become a focus of attention. In this context, this paper collects and organizes and analyzes relevant literature on data security in the energy storage industry. First, the energy storage system and energy storage technology are summarized and analyzed, and the data and data characteristics of the energy storage system are explained. Secondly, the current data security risks of the energy storage system are sorted out, including BMS network security risks, user privacy leakage risks, information interaction risks of distributed energy storage systems, smart meter data leakage risks, and trust risks between devices. Based on the above data security risks, the existing energy storage data security governance methods are sorted and classified. Finally, it is summarized that the current research in the field of data security in the energy storage industry is not sufficient. This paper comprehensively analyzes the literature on data security in the energy storage industry in recent years, which will provide support for the research on data security governance in the energy storage industry.

关键词： Industries Data privacy Reviews Data security distributed databases Network security Smart meters Critical infrastructure Power systems Energy storage

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Quantitative Performance Evaluation of distributed Video Coding

Quantitative Performance Evaluation of Distributed Video Cod...

引用

international conference on Inventive computing and Informatics

作者： Vijay Kumar Kodavalla Semiconductors and Systems Division Product Engineering Services Wipro Technologies

ISBN: (纸本)9781538640326

distributed Video Coding (DVC) is evolving as next generation video coding method for certain emerging applications and services including mobile video, wireless camera, wireless surveillance networks etc. On the contrary to its predecessor standards such as H.264/5, MPEG4, VC1, VP6/7/8/9 and AVS1/2;DVC is designed to have low complex encoder, even at the expense of high complex decoder. Though concept was developed way back in 2002 by Stanford and Berkeley Universities and further research has been carried out, DVC has not yet reached a state, at which it can be practically deployed. This paper highlights quantitative performance evaluation of DVC codec and its major bottlenecks, which are potential show stoppers for practical deployment.

关键词： DVC DSC WZ GOP A VC MPEG H.264 VC1 VP AVS QP rd RALDPC DCT DISCUS PRISM DISCOVER VISNET II NoE PSNR

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Balansing: Fast and scalable generation of realistic signed networks 23

Balansing: Fast and scalable generation of realistic signed ...

引用

23rd international conference on Extending Database Technology, EDBT 2020

作者： Jung, Jinhong Park, Ha-Myung Kang, U. Seoul National University Korea Republic of Kookmin University Korea Republic of

ISBN: (纸本)9783893180837

How can we efficiently generate large-scale signed networks following real-world properties? Due to its rich modeling capability of representing trust relations as positive and negative edges, signed networks have spurred much interests with various applications. Despite its importance, however, existing models for generating signed networks do not correctly reflect properties of real-world signed networks. In this paper, we propose BalanSiNG, a novel, scalable, and fully parallelizable method for generating large-scale signed networks following realistic properties. We identify a self-similar balanced structure observed from a real-world signed network, and simulate the self-similarity via Kronecker product. Then, we exploit noise and careful weighting of signs such that our resulting network obeys various properties of real-world signed networks. BalanSiNG is easily parallelizable, and we implement it using Spark. Extensive experiments show that BalanSiNG efficiently generates the most realistic signed networks satisfying various desired properties. © 2020 Copyright held by the owner/author(s).

关键词： Stochastic systems

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Holonic Learning: A Flexible Agent-based distributed Machine Learning Framework 24

Holonic Learning: A Flexible Agent-based Distributed Machine...

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Proceedings of the 23rd international conference on Autonomous Agents and Multiagent systems

作者： Ahmad Esmaeili Zahra Ghorrati Eric T. Matson Purdue University West Lafayette IN USA

ISBN: (纸本)9798400704864

Ever-increasing ubiquity of data and computational resources in the last decade have propelled a notable transition in the machine learning paradigm towards more distributed approaches. Such a transition seeks to not only tackle the scalability and resource distribution challenges but also to address pressing privacy and security concerns. To contribute to the ongoing discourse, this paper introduces Holonic Learning (HoL), a collaborative and privacy-focused learning framework designed for training deep learning models. By leveraging holonic concepts, the HoL framework establishes a structured self-similar hierarchy in the learning process, enabling more nuanced control over collaborations through the individual model aggregation approach of each holon, along with their intra-holon commitment and communication patterns. HoL, in its general form, provides extensive design and flexibility potentials. For empirical analysis and to demonstrate its effectiveness, this paper implements HoloAvg, a special variant of HoL that employs weighted averaging for model aggregation across all holons. The convergence of the proposed method is validated through experiments on both identically and independently distributed (IID) and Non-IID settings of the standard MNIST dataset. Furthermore, the performance behaviors of HoL are investigated under various holarchical designs and data distribution scenarios. The presented results affirm HoL's prowess in delivering competitive performance particularly, in the context of the Non-IID data distribution.

关键词： collaborative learning distributed learning edge computing holonic learning

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Collaborative defense as a pervasive service Architectural insights and validation methodologies of a trial deployment

Collaborative defense as a pervasive service Architectural i...

引用

international conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM)

作者： Eve M. Schooler Carl Livadas Joohwan Kim Prashant Gandhi Pablo R. Passera Jaideep Chandrashekar Steve Orrin Martin Koyabe Fadi El-Moussa Gogobada Daa Dabibi Corporate Technology Intel Corporation Santa Clara CA USA British Telecommunications Public Limited Company Centre for Information Security and Systems Research Ipswich UK

Network defense is an elusive art. The arsenal to defend our devices from attack is constantly lagging behind the latest methods used by attackers to break into them and subsequently into our networks. To counteract this trend, we developed a distributed, scalable approach that harnesses the power of collaborative end-host detectors or sensors. Simulation results reveal order of magnitude improvements over stand-alone detectors in the accuracy of detection (fewer false alarms) and in the quality of detection (the ability to capture stealthy anomalies that would otherwise go undetected). Although these results arise out of a proof of concept in the arena of botnet detection in an enterprise network, they have broader applicability to the area of network self-manageability of pervasive computing devices. To test the efficacy of these ideas further, Intel Corporation partnered with British Telecommunications plc to launch a trial deployment. In this paper, we report on results and insights gleaned from the development of a testbed infrastructure and phased experiments; (1) the design of a re-usable measurement-inference architecture into which 3rd party sensor developers can integrate a wide variety of ldquoanomaly detectionrdquo algorithms to derive the same correlation-related performance benefits; (2) the development of a series of validation methodologies necessitated by the lack of mature tools and approaches to attest to the security of distributed networked systems; (3) the critical role of learning and adaptation algorithms to calibrate a fully-distributed architecture of varied devices in varied contexts, and (4) the utility of large-scale data collections to assess what's normal behavior for Enterprise end-host background traffic as well as malware command-and-control protocols. Finally, we propose collaborative defense as a blueprint for emergent collaborative systems and its measurement-everywhere approach as the adaptive underpinnings needed for pervasive

关键词： Collaboration Detectors Art Pervasive computing Programmable control System testing Algorithm design and analysis Phase measurement Computer architecture Sensor systems

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Tibetan microblogging user data analysis and topic identification

Tibetan microblogging user data analysis and topic identific...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Guixian Xu Wenhui Gao School of Information Engineering Minzu University of China Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

The digital era accelerates the construction of information technology, and the Internet penetration rate and the number of Internet users in Tibetan areas have surged, and the value of their online text data is highlighted in cultural heritage, social insights, and technological applications. In this paper, Python is used to capture Tibetan microblog user ID, gender, microblog content, microblog comments and other data, and store them in Hadoop distributed file system to ensure the efficiency and security of data processing. Secondly, the distribution of the number of microblogs, the frequency of microblog posting, the length of microblog content, the proportion of users' gender and the distribution area were analysed, and the results were visualised by using Matplotlib. Then, we compare the effects of LDA and BTM topic models, choose the more effective LDA topic model to further accurately identify and discover the topic feature words in Tibetan microblogs, output the results of Tibetan microblog topic discovery, and analyse the experimental results, which not only enriches the research content in the field of Tibetan information processing, but also provides powerful technical support for the government and institutions in monitoring and analysing the public opinion, guaranteeing the safety of the social network, and responding to the concerns of the public quickly. It not only enriches the research content in the field of Tibetan information processing, but also provides powerful technical support and decision-making basis for governments and institutions in monitoring and analysing social opinions, safeguarding social network security, and responding rapidly to people's concerns.

关键词： Analytical models Social networking (online) File systems Blogs Government Information processing Internet Safety Information technology Monitoring

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