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Detecting DDoS Attacks on the Network Edge: An Information-Theoretic Correlation Analysis

Detecting DDoS Attacks on the Network Edge: An Information-T...

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

作者： Ryosuke Araki Kshira Sagar Sahoo Yuzo Taenaka Youki Kadobayashi Erik Elmroth Monowar Bhuyan Division of Information Science Nara Institute of Science and Technology Ikoma Japan Department of Computing Science Umeå University Umeå Sweden

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Nowadays, edge computing has become part of the Internet of Things (IoT) that plays a vital role in developing smart applications. As the usage of IoT devices significantly increases, at the same time, network edge infrastructure faces several security challenges. distributed Denial-of-Service (DDoS) attack is one of the most severe threats to edge-cloud services. Therefore, designing a robust mitigating system is unavoidable for the network edge, and it must be able to recognize emerging attacks. This work proposes an anomaly-based DDoS detection approach that combines information-theoretic metrics and multivariate correlation analysis. The information-theoretic metric captures the randomness and complex nature of traffic behaviour. Similarly, multivariate correlation analysis identifies the relationship among traffic features. Combining information metrics and correlation analysis, we generate normal and attack traffic profiles for the training base to estimate density. The generated profiles build on the metrics including Triangle Area Mapping (TAM) with correlation analysis, Renyi’s divergence, covariance, mean, and standard deviation, which enhances the detection performance of the proposed approach. The effectiveness of the proposed approach is evaluated using testbed and benchmark datasets. The results show that the proposed approach achieves 0.17% and 2.32%, and 0.50% higher accuracy compared to the baseline approaches on the testbed, UNSW and CIC-DDoS datasets, respectively.

关键词： Measurement Training Privacy Correlation Image edge detection Denial-of-service attack Internet of Things

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Enhancing Training Efficiency for Cloud-Edge Collaboration in the Industrial Internet of Things: A Transmission-Centric Approach

Enhancing Training Efficiency for Cloud-Edge Collaboration i...

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IEEE international conference on Industrial Informatics (IndIN)

作者： Jia Zhang Tao Zheng Binjie Lu Huan Yin Kyi Thar Mikael Gidlund Mohsen Guizani School of Electronic and Information Engineering Beijng Jiaotong University China Department of Computer and Electrical Engineering Mid Sweden University Sweden Machine Learning Department Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) Abu Dhabi UAE

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

With the development of intelligent edge computing (IEC) in industrial IoT (IIoT), there is a growing number of service providers trying to leverage computing resources in the cloud and at the edge to meet the users‘ demand for low latency and high reliability in diversified applications. This evolving landscape necessitates innovative approaches to manage and process the vast amounts of data generated by IIoT devices. Among these approaches, distributed learning frameworks, such as federated learning (FL), have emerged as popular solutions. However, compared to computing, communication remains the primary bottleneck that constrains the speed of federated model training. Most of the previous solutions have focused on reducing communication overhead. Differently, we propose a transmission-centric approach by designing an efficient communication archi-tecture for FL with cloud-edge collaboration, specifically aimed at enhancing communication capabilities through multi-path transmission. We deploy this FL system in a real environment and conduct extensive testing. The results demonstrate that the new approach can significantly reduce communication time in FL setting, thereby enhancing model aggregation efficiency and shortening the overall training duration. Compared to conventional single-path transmission, the proposed solution improves training efficiency by up to 26.4%.

关键词： Training Cloud computing Scheduling algorithms Collaboration Computer architecture Reliability Low latency communication Informatics Industrial Internet of Things Testing

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Absolute and relative dose distribution comparisons for convolution/superposition and Monte Carlo based treatment planning

Absolute and relative dose distribution comparisons for conv...

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Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： N. Papanikolaou S. Stathakis C. Kappas School of Medicine Lexington Department of Radiation Medicine University of Kentucky Lexington KY USA School of Medicine Patras Department of Medical Physics University of Patras Patras Greece

ISBN: (纸本)0780364651

Historically, the algorithms used for dose computation in radiotherapy treatment planning (RTP) have been based on measured data in water. The so-called model based algorithms (convolution, Monte Carlo) are now emerging as the dose engines of choice for 3D RTP as they can predict more accurately the dose distribution inside the patient based on the CT anatomy with minimum measured data input. In this work, we studied the effect of the dimensionality of a convolution/superposition dose algorithm on the absolute dose and relative dose distribution computed in several clinical cases and compared the outcome to Monte Carlo calculations. The convolution algorithm, calculates the dose at a point by summing together the total energy released per unit mass (TERMA) at all primary interaction sites as modified by the convolution kernel; the latter, reflects the percent of the energy released that is absorbed at the dose deposition site. Patient tissue inhomogeneity can be (i) ignored, (ii) included in the TERMA calculation only and (iii) included in both the TERMA and the convolution kernel. The resulting isodose distribution and monitor units correspond then to a homogeneous, 2.5D and 3D calculation type respectively. We used four clinical cases to study the dimensionality of the dose engine and compare to MC. We found remarkable differences between the three convolution calculation modes, but not much difference against the MC computations. The dosimetric and clinical implications in the choice of the algorithm are presented as applied to the clinical sites that were investigated.

关键词： Convolution Monte Carlo methods distributed computing Engines Kernel Anatomy Patient monitoring Linear accelerators Lungs Quantum computing

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PDG2Vec: Identify the Binary Function Similarity with Program Dependence Graph

PDG2Vec: Identify the Binary Function Similarity with Progra...

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IEEE international conference on Software Quality, Reliability and Security (QRS)

作者： Yuntao Zhang Yanhao Wang Yuwei Liu Zhengyuan Pang Binxing Fang Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China QI-ANXIN Technology Group Inc. Beijing China Chinese Academy of Sciences Institute of Software Beijing China Beijing DigApis Technology Co. Ltd Beijing China

Binary code similarity identification is an important technique applied to many security applications (e.g., plagiarism detection, bug search). The primary challenge of this research topic is how to extract sufficient information from the binary code for similarity comparison. Although numerous approaches have been proposed to address the challenge, most of them leverage features determined by human experience or extracted using machine learning methods and ignore some critical technique semantic information. Additionally, they assess their approach exclusively in laboratory environments and lack real-world datasets. Both problems lead to the limited effectiveness of these methods in real application scenarios (e.g., vulnerable function search).In this paper, we propose a novel approach PDG2Vec, which extracts the data dependence graph and control dependence graph (i.e., program dependence graph (PDG)) as the features of functions and uses them for identifying function similarity. Meanwhile, we design several strategies to optimize the PDG’s construction and use them in similarity comparison to balance time-consuming and accuracy. We implement the prototype of PDG2Vec, which can perform binary code similarity comparison across architectures of x86, x86_64, MIPS32, ARM32, and ARM64. We evaluate PDG2Vec with two datasets. The experimental results show that PDG2Vec is resilient to cross-architecture and extracts more precise semantics than other approaches. Moreover, PDG2Vec outperforms the state-of-the-art tools in the vulnerable function search scenario and has excellent performance.

关键词： Plagiarism Semantics Prototypes Binary codes Software quality Feature extraction Search problems

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DDS for middleware researchers: a gentle introduction to the leading distributed connectivity framework for autonomous systems 21

DDS for middleware researchers: a gentle introduction to the...

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proceedings of the 22nd international Middleware conference: Tutorials

作者： Kyle Benson RTI

ISBN: (纸本)9781450391535

Are you working on an edge computing, publish/subscribe, or real-time systems middleware research prototype? Maybe you're exploring robotics and looking to open up the hood on ROS2 to tinker with the underlying communications middleware? Or you're trying to measure distributed communications performance, and you dread the idea of debugging a hand-written distributed application protocol and telemetry code? Well, you might consider a data-centric approach using the open standard Data Distribution Service (DDS). And if you do, please attend this tutorial to learn how to make the most of DDS. RTI is proud to support the academic research community by holding this tutorial as well as providing free software licenses for our industry-leading DDS-based distributed connectivity framework to academic researchers: https://***/free-trial/university-programRather than getting bogged down in network programming, cross-platform complexity, and asynchronous handler headaches, come to this tutorial and learn how to employ an open standards-based connectivity framework instead so you can focus more on the research! We'll show you how to quickly define your DDS data models, topics, application data requirements, and detailed protocol QoS configurations using an intuitive web-based interface. You will learn how to auto-generate compilable data type and example code for your platform of choice or dynamically load the XML data type into your favorite scripting language. Topics covered will range from the basics of DDS to briefly touching on advanced topics that will help you configure the middleware and its network protocol according to your unique requirements. Throughout the tutorial, we will relate the content to one of our hottest real-world customer markets - autonomous vehicles. We will also discuss why the open DDS standard is trusted by mission-critical industries such as healthcare, energy, transportation, aerospace, and defense. For those early in their research caree

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Towards Survivable In-Memory Stores with Parity Coded NVRAM

Towards Survivable In-Memory Stores with Parity Coded NVRAM

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

作者： Zhixuan Wang Guangping Xu Hongzhang Yang Yulei Wu School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China Faculty of Engineering University of Bristol Bristol U.K.

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Erasure codes have been widely applied to in-memory key-value storage systems for high reliability and low redundancy. In distributed in-memory key-value storage systems, update operations are relatively frequent, especially the partial-stripe update, which makes data update more challenging. Recently, existing research has been based on appending logs to accelerate parity data write. However, its logs are stored on disks, which decreases the system performance significantly. Therefore, we propose a novel in-memory key-value storage architecture, DNVPL, which utilizes NVRAM to log parity data. Our main idea is to design an appending-only update scheme to tradeoff the memory cost and the update overhead. We implement DNVPL with an in-memory key-value storage prototype, called LogKV. We evaluate it with different workloads. The experiments show that our scheme achieves high update performance from different metrics. Our scheme can reduce update latency by up to 49% and save storage space by 48% compared to the state-of-the-art schemes.

关键词： Privacy Nonvolatile memory System performance Redundancy Random access memory Prototypes Computer architecture

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A Novel Blockchain-based Decentralized Multi-party Certificate Management Framework

A Novel Blockchain-based Decentralized Multi-party Certifica...

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

作者： Shalitha Wijethilaka Awaneesh Kumar Yadav An Braeken Madhusanka Liyanage School of Computer Science University College Dublin Ireland Department of Computer Science and Engineering Indian Institute of Technology Roorkee Roorkee Uttarakhand India Department of Engineering Technology (INDI) Vrije Universiteit Brussel Belgium Centre for Wireless Communications University of Oulu Finland

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Digital certificates play a significant role in the current communication systems. However, with the limitations in the existing Certificate Management Frameworks (CMFs), such as single point of failure, the profound nature of existing certificates, and malicious Certificate Authorities (CAs), a novel framework is required to optimize certificate management. Even though blockchain is a popular approach in designing CMFs, they also failed to address all these limitations. There are no existing frameworks that distribute the functionality of the centralized CA to address these issues. Therefore, this paper proposes a blockchain-based, lightweight CMF while distributing the centralized certificate generation process among multiple parties. Certificate generation, validation, and revocation can be performed with our framework. We design the required secure communication protocols to deploy our framework in any blockchain. The proposed framework is implemented on top of a Hyperledger Fabric environment and performed a set of experiments to evaluate the performance of the framework. Also, a formal security analysis for the proposed communication protocols is provided using known security verification methods such as BAN logic and the Scyther tool.

关键词： Privacy Protocols distributed ledger Computational modeling Fabrics Blockchains Security

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Studies of distributed energy supply systems using an innovative energy management system

Studies of distributed energy supply systems using an innova...

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Power Industry Computer Application conference (PICA)

作者： H. Muller A. Rudolf G. Aumayr Department of Electric Power Systems University of Technology Vienna Vienna Austria Program and System Engineering Energy & Information Siemens Ag Austria Program and System Engineering Energy & Information Siemens Ag Germany

ISBN: (纸本)0780366816

The liberalization of energy markets and the aims of the climate protection promote distributed systems. These systems permit inclusion of all practicable energy resources in the energy mix in connection with storage facilities, controllable loads as well as combined heating and power generation. This article describes an energy management system for distributed energy supply systems and it's application as a planning tool to prepare economy studies. The function of the energy management system is short-term optimization in co-generation systems, incorporating generating units using renewable primary energy. It is based essentially on the function packages forecast (weather, generation and load), operations planning and online modules. The operations planning takes into account different generating units, energy storage mechanisms, demand-side management, contracts and co-generation. The online modules perform redistribution of generation and load schedules, generation control and load control. The studies reported here deal with contract management, evaluation of emissions and renewable energy combined with battery systems.

关键词： Energy management Energy storage Weather forecasting Contracts Power system protection Energy resources Temperature control Control systems Cogeneration Power generation planning

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Zero Trust Score-based Network-level Access Control in Enterprise Networks

Zero Trust Score-based Network-level Access Control in Enter...

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

作者： Leonard Bradatsch Oleksandr Miroshkin Nataša Trkulja Frank Kargl Institute of Distributed Systems Ulm University Ulm Germany KIZ Ulm University Ulm Germany

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Zero Trust security has recently gained attention in enterprise network security. One of its key ideas is making network-level access decisions based on trust scores. However, score-based access control in the enterprise domain still lacks essential elements in our understanding, and in this paper, we contribute with respect to three crucial aspects. First, we provide a comprehensive list of 29 trust attributes that can be used to calculate a trust score. By introducing a novel mathematical approach, we demonstrate how to quantify these attributes. Second, we describe a dynamic risk-based method to calculate the trust threshold the trust score must meet for permitted access. Third, we introduce a novel trust algorithm based on Subjective Logic that incorporates the first two contributions and offers fine-grained decision possibilities. We discuss how this algorithm shows a higher expressiveness compared to a lightweight additive trust algorithm. Performance-wise, a prototype of the Subjective Logic-based approach showed similar calculation times for making an access decision as the additive approach. In addition, the dynamic threshold calculation showed only 7% increased decision-making times compared to a static threshold.

关键词： Access control Privacy Additives Heuristic algorithms Decision making Prototypes Network security

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Grading and Calculation of Synchronic Distance in Petri Nets for Trustworthy Modeling and analyzing

Grading and Calculation of Synchronic Distance in Petri Nets...

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

作者： Yumeng Cheng Wangyang Yu Xiaojun Zhai Fei Hao Yuan Liu School of Computer Science Shaanxi Normal University Xi’an China School of Computer Science and Electronic Engineering University of Essex Colchester UK

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Synchronization plays a crucial role in computer systems, providing support for system security, data consistency, and coordination. It contributes to the establishment and application of trust, security, and dependability in distributed systems and concurrent computing to a significant extent. This article makes innovative contributions in the field of synchronic distance in Petri net. We provide refined definitions for the hierarchical classification of synchronic levels in Petri net, proposing the concepts of absolute synchronization, strong synchronization, and extended synchronization based on different conditions. Furthermore, we propose an innovative method for calculating synchronic distance. This method can automate the calculation of synchronic distance between any two transitions using computer computation, resulting in improved accuracy and reduced errors. This novel approach provides an effective tool for system security and trustworthy modeling, as accurate synchronic distance calculations allow for better evaluation of synchronic distance between different transitions, leading to the identification of potential security vulnerabilities and design flaws, thereby enhancing the credibility of decision-making and promoting the reliability of models and analysis results. To validate the proposed method, we introduce a specific example of a Petri net with concurrency, demonstrate the practicality and effectiveness of the proposed method and algorithm through analysis of this example. Our work extends the research on Petri net synchronic distance, further advancing the understanding and exploration of this field.

关键词： Concurrent computing Fault diagnosis Analytical models Privacy Computational modeling Petri nets Decision making

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