检索结果-内蒙古大学图书馆

19th international Workshop on Data Privacy Management, DPM 2024, 8th international Workshop on Cryptocurrencies and Blockchain Technology, CBT 2024 and 10th Workshop on the Security of Industrial Control systems and of Cyber-Physical systems, CyberICPS 2024 which were held in conjunction with the 29th European symposium on Research in computer Security, ESORICS 2024

作者： Avarikioti, Zeta Bastankhah, Mahsa Maddah-Ali, Mohammad Ali Pietrzak, Krzysztof Svoboda, Jakub Yeo, Michelle TU Wien Vienna Austria Princeton University Princeton United States University of Minnesota Twin Cities Minneapolis United States Institute of Science and Technology Austria Klosterneuburg Austria National University of Singapore Singapore Singapore

ISBN: (纸本)9783031823480

In this work, we explore route discovery in private payment channel networks. We first determine what "ideal" privacy for a routing protocol means in this setting. We observe that protocols achieving this strong privacy definition exist by leveraging Multi-Party Computation but they are inherently inefficient as they must involve the entire network. We then present protocols with weaker privacy guarantees but much better efficiency (involving only a small fraction of the nodes). The core idea is that both sender and receiver gossip a message which propagates through the network, and the moment any node in the network receives both messages, a path is found. In our first protocol the message is always sent to all neighbouring nodes with a delay proportional to the fees of that edge. In our second protocol the message is only sent to one neighbour chosen randomly with a probability proportional to its degree. We additionally propose a more realistic notion of privacy in order to measure the privacy leakage of our protocols in practice. Our realistic notion of privacy challenges an adversary that join the network with a fixed budget to create channels to guess the sender and receiver of a transaction upon receiving messages from our protocols. Simulations of our protocols on the Lightning network topology (for random transactions and uniform fees) show that 1) forming edges with high degree nodes is a more effective attack strategy for the adversary, 2) there is a tradeoff between the number of nodes involved in our protocols (privacy) and the optimality of the discovered path, and 3) our protocols involve a very small fraction of the network on average. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

DDoS Mitigation Dilemma Exposed: A Two-Wave Attack with Collateral Damage of Millions 19th

DDoS Mitigation Dilemma Exposed: A Two-Wave Attack with Coll...

引用

19th international Conference on Security and Privacy in Communication networks

作者： Shi, Lumin Li, Jun Sisodia, Devkishen Zhang, Mingwei Dainotti, Alberto Reiher, Peter Univ Oregon Eugene OR 97403 USA Georgia Inst Technol Atlanta GA USA UCLA Los Angeles CA USA

ISBN: (纸本)9783031649530;9783031649547

While mitigating link-flooding attacks on the Internet has become an essential task, little research has been done on how an attacker can further attack and abuse the mitigation solutions themselves. In this paper, we propose a two-wave attack with collateral damage of millions (or Carom), a new link-flooding attack that poses a mitigation dilemma for multiple simultaneously attacked networks, which must either endure the flooding attack or suffer unwanted side effects in mitigating the attack. Composed of practical components, the Carom attack aims to maximize the burden on attack mitigation systems and the collateral damage to defending networks, thereby wreaking havoc on large swaths of the Internet. After modeling real-world mitigation solutions, we evaluated the attack against the mitigation solutions with real-world datasets, showing the feasibility of the attack and quantifying the amount of damage it can inflict on today's Internet. We hope that this work can motivate the improvement of existing link-flooding mitigation solutions.

关键词： Link-flooding attack distributed denial-of-Service (DDoS) Collateral damage

来源：评论

学校读者我要写书评

暂无评论

Enhancing Image Annotation Through Attention Mining: A Grounded SAM Approach 21st

Enhancing Image Annotation Through Attention Mining: A Groun...

引用

21st international symposium on distributed Computing and Artificial Intelligence

作者： Corton-Gonzalez, Jaime Mora-Sanchez, Angel Rodriguez-Jimenez, Silvia Sigma Cognit Ave Manoteras 6 Madrid 28050 Spain

ISBN: (纸本)9783031809453;9783031809460

In the domain of image annotation, the involvement of human annotators presents a series of intricate challenges tied to the complexities of visual perception. The manual labeling process demands an understanding of context and visual intricacies, all susceptible to human subjectivity. Furthermore, the presence of visual distractions compromises annotation quality, not only impeding annotation precision but also escalating time expenditures as annotators navigate through visual noise to discern pertinent details. Traditional image annotation pipelines underscore these challenges in favor of automatic or semiautomatic annotation, emphasizing the critical necessity for innovative approaches in annotation tasks where the human annotator role is fundamental. Within this context, the Grounded SAM model, emerges as a potent tool for text-prompt-based panoptic segmentation. This paper proposes a novel annotation pipeline employing Grounded SAM and LaMa cleaner models to augment the indispensable role of human annotators by enhancing annotation efficiency through natural language-based attention mining for visual distractions elimination and preannotation techniques. The effectiveness of distraction elimination is demonstrated through an annotation task involving human annotators, with half of the images processed through our pipeline and the remaining unmodified. With our current approach and with the current data analyzed, image annotation times of 70% of the annotators were reduced by 15.88%, while global annotation time was reduced by a 6.93%.

关键词： image annotation visual distractions attention mining computer vision

来源：评论

学校读者我要写书评

暂无评论

Optimality-Preserving Reduction of Chemical Reaction networks 12th

Optimality-Preserving Reduction of Chemical Reaction Network...

引用

12th international symposium on Leveraging Applications of Formal Methods, Verification and Validation

作者： Larsen, Kim G. Toller, Daniele Tribastone, Mirco Tschaikowski, Max Vandin, Andrea Aalborg Univ Aalborg Denmark IMT Sch Adv Studies Lucca Lucca Italy St Anna Sch Adv Studies Pisa Italy DTU Tech Univ Denmark Lyngby Denmark

ISBN: (纸本)9783031751066;9783031751073

Across many disciplines, chemical reaction networks (CRNs) are an established population model defined as a system of coupled non-linear ordinary differential equations. In many applications, for example, in systems biology and epidemiology, CRN parameters such as the kinetic reaction rates can be used as control inputs to steer the system toward a given target. Unfortunately, the resulting optimal control problem is non-linear, therefore, computationally very challenging. We address this issue by introducing an optimality-preserving reduction algorithm for CRNs. The algorithm partitions the original state variables into a reduced set of macro-variables for which one can define a reduced optimal control problem with provably identical optimal values. The reduction algorithm runs with polynomial time complexity in the size of the CRN. We use this result to reduce verification and control problems of large-scale vaccination models over real-world networks.

关键词： Reaction rates

来源：评论

学校读者我要写书评

暂无评论

international Conference on Applied Innovations in IT, ICAIIT 2024

International Conference on Applied Innovations in IT, ICAII...

引用

international Conference on Applied Innovations in IT, ICAIIT 2024

ISBN: (纸本)9783031892950

The proceedings contain 37 papers. The special focus in this conference is on Applied Innovations in IT. The topics include: Use of Heterogeneous Special Purpose Telecommunication networks for Provision of Convergent Services;methodology for Choosing the Best Network Topology for the Multiple Objects Network;turing Machine Development for High Protected Remote Control of the IoT Mobile Platform;distributed Multi-agent systems Based on the Mixture of Experts Architecture in the Context of 6G Wireless Technologies;technological Principles for Building a Network Architecture of Service Data Processing Centers;Comparison of Performance and Power Consumption in Sigfox, NB-IoT, and LTE-M;approach to Effective Query Execution;possible Features of Designing Telemedicine networks and Telemedicine Stations;applying Adaptive Learning Techniques for Studying of Installation Process an Operating System on a Personal computer;determination the Conversion Power of the Most Popular Switching Converters for computer systems;achieving Cyber-Physical Consistency for Immersive Robot Controlling;quantifying the Economic Impact of Investment Activities: Methods and Applications;analysis of Modern Solutions for the Identification of Anonymous Users;ontology-Driven Approach to the Structuring of Information Resources Describing a Subject Domain;a Comprehensive Integration of Practical Strategies in DevOps;methods of Spline Functions in Information Technologies;adaptive Clustering for Distribution Parameter Estimation in Technical Diagnostics;semi-Autonomous Object Retrieval with Robot Arm and Depth Camera for Quadruped Robots;power-to-X Strategies: A Key Driver for Decarbonization and Renewable Energy Integration in Economies;Estimation of the Repeater Span Length of OTH Transmission System with QAM Modulation;automated 3D Sign Language Animation Using Machine Learning Algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Maximizing Utility and Quality in Smart Healthcare with Incentive Driven Hierarchical Federated Learning 17

Maximizing Utility and Quality in Smart Healthcare with Ince...

引用

17th international Conference on COMmunication systems and networks, COMSNETS 2025

作者： Singh, Himanshu Patidar, Sourabh Pratap, Ajay Yasumoto, Keiichi Department of Computer Science and Engineering Varanasi India Nara Institute of Science and Technology Nara Japan

ISBN: (纸本)9798331531195

Recent development of federated learning based smart healthcare techniques facilitates distributed processing of patient data while protecting privacy. However, two significant challenges can notably degrade model learning performance. Firstly, patients often show reluctance to participate in model training due to a lack of incentives. Secondly, the quality of updated models can change significantly due to different aspects such as the size and training data quality. The incorporation of low-quality updates can subsequently degrade global model quality in FL. Considering the above scenarios, this paper formulates a utility maximization problem keeping model quality function and budget into deliberation. To solve the formulated problem, this paper proposes association algorithm utilizing Utility Maximization and Payment (UMaxP) algorithm based on matching approach to select Wireless Body Area networks (WBANs) and hospitals in a way that increases the utility and improves model quality using Hierarchical FL (HFL). In UMaxP, the allocation of patients to hospitals is optimized to maximize both the sum of local model qualities and the overall utility of the patients. The effectiveness of the proposed algorithmic model is demonstrated through theoretical analysis, experimental validation, and comparative evaluation with various methods using real-world data. © 2025 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

11th international symposium on From Data to Models and Back, DataMod 2023

11th International Symposium on From Data to Models and Back...

引用

11th international symposium on From Data to Models and Back, DataMod 2023

ISBN: (纸本)9783031872167

The proceedings contain 8 papers. The special focus in this conference is on From Data to Models and Back. The topics include: Extracting Cyber Threat Intelligence from Social Media with Case Studies in Twitter/X and Reddit;attractor and Slicing Analysis of a T Cell Differentiation Model Based on Reaction systems;preliminary Results on Shapley Value Notions and Propagation Methods for Boolean networks;towards a Flexible Approach for Understanding and Comparing Traces;modelling and Verification of an Application for Managing Sensitive Health Data;evaluating Large Language Models and Prompt Variants on the Task of Detecting Cease and Desist Violations in German Online Product Descriptions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Ultrasound Robotic-Assisted Teleoperation Over networks: Performance Evaluation of Commercial 5G, Wi-Fi, and Ethernet 11

Ultrasound Robotic-Assisted Teleoperation Over Networks: Per...

引用

11th international Conference on Mechatronics and Robotics Engineering, ICMRE 2025

作者： Sajadi, Seyed MohammadReza Mathiassen, Kim Solvin, Håvard Brun, Henrik Lehne, Per Hjalmar Elle, Ole Jakob University of Oslo Department of Technology Systems Oslo Norway Fornebu Telenor R&i Norway University of Oslo Department of Informatics Oslo Norway Oslo University Hospital The Intervention Center Oslo Norway

ISBN: (纸本)9798331509293

This study aims to address the challenges of delivering adequate ultrasound examinations in remote areas. It focuses on developing a long-distance teleoperation system for ultrasound examinations using commercially available 5G networks. This is achieved by enhancing a previously developed short-distance teleoperation system. The upgrade involves shifting from a centralized to a distributed architecture, making it suitable for long-distance teleoperation over networks. The performance of the upgraded system was evaluated over commercial 5G, Wi-Fi, and Ethernet networks, with Ethernet serving as the benchmark. An experienced echocardiographer conducted evaluations using these network protocols blindly, assessing the system's bidirectional transparency and dexterity. The results demonstrate that the distributed architecture, combined with 5G technology, can successfully facilitate long-distance teleoperation, allowing smooth manipulation of the robotic system with acceptable transparency over the 5G network. The developed system shows potential for use in remote areas, mobile platforms such as ambulances, and emergency departments of regional healthcare facilities. © 2025 IEEE.

关键词： Wireless local area networks (WLAN)

来源：评论

学校读者我要写书评

暂无评论

6G in medical robotics: development of network allocation strategies for a telerobotic examination system

引用

international JOURNAL OF computer ASSISTED RADIOLOGY AND SURGERY 2025年第1期20卷 167-178页

作者： Kolb, Sven Madden, Andrew Kroeger, Nicolai Mehmeti, Fidan Jurosch, Franziska Bernhard, Lukas Kellerer, Wolfgang Wilhelm, Dirk Tech Univ Munich TUM Sch Med & Hlth Klinikum Rechts Isar Res Grp MITI Munich Germany Tech Univ Munich Chair Commun Networks TUM Sch Computat Informat & Technol Munich Germany Tech Univ Munich TUM Sch Med & Hlth Dept Surg Klinikum Rechts Isar Munich Germany Tech Univ Munich Munich Inst Robot & Machine Intelligence Munich Germany

PurposeHealthcare systems around the world are increasingly facing severe challenges due to problems such as staff shortage, changing demographics and the reliance on an often strongly human-dependent environment. One approach aiming to address these issues is the development of new telemedicine applications. The currently researched network standard 6G promises to deliver many new features which could be beneficial to leverage the full potential of emerging telemedical solutions and overcome the limitations of current network *** developed a telerobotic examination system with a distributed robot control infrastructure to investigate the benefits and challenges of distributed computing scenarios, such as fog computing, in medical applications. We investigate different software configurations for which we characterize the network traffic and computational loads and subsequently establish network allocation strategies for different types of modular application functions (MAFs).ResultsThe results indicate a high variability in the usage profiles of these MAFs, both in terms of computational load and networking behavior, which in turn allows the development of allocation strategies for different types of MAFs according to their requirements. Furthermore, the results provide a strong basis for further exploration of distributed computing scenarios in medical *** work lays the foundation for the development of medical robotic applications using 6G network architectures and distributed computing scenarios, such as fog computing. In the future, we plan to investigate the capability to dynamically shift MAFs within the network based on current situational demand, which could help to further optimize the performance of network-based medical applications and play a role in addressing the increasingly critical challenges in healthcare.

关键词： 6G Medical robotics Telemedicine Fog computing

来源：评论

学校读者我要写书评

暂无评论

Towards Smarter Maritime Security: Apriori Algorithm Optimization in Serverless Environments 16

Towards Smarter Maritime Security: Apriori Algorithm Optimiz...

引用

16th international Conference on Ambient systems, networks and Technologies networks, ANT 2025 / 8th international Conference on Emerging Data and Industry 4.0, EDI40 2025

作者： Shahin, Mahtab Rahimpour, Saeed Ghasempouri, Tara Bauk, Sanja Fahringer, Thomas Draheim, Dirk Estonian Maritime Academy Tallinn University of Technology Tallinn Estonia Department of Computer Systems Tallinn University of Technology Tallinn Estonia Distributed and Parallel Systems Group University of Innsbruck Tirol Austria Information Systems Group Tallinn University of Technology Tallinn Estonia

This paper presents an optimized implementation of the Apriori algorithm tailored for large-scale data mining in cloud-native, serverless environments, utilizing real-world fuel datasets. Our approach achieves a 28% reduction in execution time and a 22% decrease in memory consumption compared to traditional distributed Apriori methods. The study leverages high-dimensional fuel datasets, spanning from 2020 to 2050, to evaluate scalability and efficiency in processing energy-related data. By employing advanced synchronization and deferred partitioning strategies, communication overhead is significantly reduced, improving performance while effectively balancing computational loads across distributed nodes. Security measures, including AES-256 encryption and role-based access control (RBAC), are incorporated to safeguard data confidentiality and ensure compliance with regulatory frameworks. The proposed solution scales efficiently for datasets up to 1 million records, demonstrating applicability across domains such as transportation and logistics. Future work will explore adaptive partitioning techniques, hybrid cloud architectures, and AI-driven predictive analytics to further enhance scalability and operational efficiency in serverless multi-cloud systems. © 2025 Elsevier B.V.. All rights reserved.

关键词： distributed cloud

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：