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Scalable Reinforcement Learning for Dynamic Overlay Selection in SD-WANs 22

Scalable Reinforcement Learning for Dynamic Overlay Selectio...

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22nd International-Federation-for-Information-Processing (IFIP) networking conference (IFIP networking)

作者： Botta, Alessio Canonico, Roberto Navarro, Annalisa Stanco, Giovanni Ventre, Giorgio Univ Napoli Federico II DIETI Dept Naples Italy

ISBN: (纸本)9783903176577

SD-WAN promises distributed enterprises to satisfy their dynamic communication requirements over the public internet with a substantial cost reduction and enhanced performance compared to dedicated lines. It builds interconnections between users or applications in remote sites by exploiting all available transport connections (e.g. internet, MPLS,...), but how to combine them to enhance communication performance is still an open challenge. Previous work investigated the use of Reinforcement Learning in the SD-WAN control logic to solve this problem, but they only considered simple scenarios consisting of two sites connected by two paths. In this paper we move a step forward and pose the question of whether such a promising approach can scale to WANs spanning multiple distributed sites connected through several paths. We first conduct an analytical study of the complexity of Reinforcement Learning that considers the increase of action and state spaces when the number of sites and paths grows. We then propose a solution based on Multi-Agent Reinforcement Learning (MARL) that helps reducing the overall complexity by leveraging an agent for each site. Finally, we show the effectiveness of our solution with real experiments in an emulated environment, showing that not only it is viable, but it also achieves a reduction in network policy violations, latency, and transit costs in a multi-site scenario.

关键词： SDN SD-WAN Traffic Engineering Reinforcement Learning Scalability

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Design and Deployment of Resilient control Execution Patterns: A Prediction, Mitigation Approach 23

Design and Deployment of Resilient Control Execution Pattern...

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14th ACM/IEEE International conference on Cyber-Physical systems (ICCPS) part of CPS-IoT Week

作者： Koley, Ipsita Adhikary, Sunandan Sain, Arkaprava Dey, Soumyajit Indian Inst Technol Kharagpur Dept CSE Kharagpur W Bengal India

ISBN: (纸本)9798400700361

Modern Cyber-Physical systems (CPSs) are often designed as networked, software-based controller implementations which have been found to be vulnerable to network-level and physical-level attacks. A number of research works have proposed CPS-specific attack detection schemes as well as techniques for attack-resilient controller design. However, such schemes also incur platform-level overheads. In this regard, some recent works have leveraged the use of skips in control execution to enhance the resilience of a CPS against false data injection (FDI) attacks. However, skipping the control executions may degrade the performance of the controller. In this paper, we provide an analytical discussion on when and how skipping a control execution can improve the system's resilience against FDI attacks while maintaining the control performance requirement. Our proposed method i) synthesizes a library of such optimal control execution patterns offline, and ii) executes one of them in run-time judging the intent of the attacker. To the best of our knowledge, no previous work has provided any quantitative analysis about the trade-off between attack resilience and control performance for such aperiodic control execution. Finally, we evaluate the proposed method on several safety-critical CPS benchmarks.

关键词： CPS control execution skips security attack resilient system control performance

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Analysis of Power Communication network And Power Information Security Based on Data Mining Algorithm Under Edge Collaboration Architecture

Analysis of Power Communication Network And Power Informatio...

引用

2023 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2023

作者： Raoa, Qiang Huangb, Jie Zhangc, Ke Jind, Jing State Grid Hubei Electric Power Company Hubei Wuhan430077 China

ISBN: (纸本)9798350329124

With the proposal of 'internet plus' and the penetration of internet technology in all fields of society, the importance of communication information network security has become increasingly prominent. Communication information data dissemination has brought unprecedented new challenges and problems to national security and social stability. According to the isolation and authentication requirements of information security protection of power grid enterprises, based on the research of the relevant smart grid business scenarios, system architecture and security requirements with wireless public network as the channel, the monitoring architecture of wireless public network channel for intelligent power distribution is designed, including the monitoring scheme of intelligent power distribution business terminal, system master station, wireless public network channel and other links. In order to ensure the safe and reliable operation of power communication access network, encryption, authentication, isolation and other security protection measures are mainly adopted. Another important index to measure the network performance of power communication network is the quality of service ($Q_performance$S), which will be sacrificed at the cost of network security. This paper proposes a method of information system security situation assessment based on DM. Situation assessment is one of the most important measures to detect the security of information systems, which can provide power system security status information for managers. Managers can obtain the abnormal problems in the system and take targeted measures to improve the security performance of the system. © 2023 IEEE.

关键词： network security

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Efficient IoT Intrusion Detection: Integrating Random Forest Feature Selection with MLP Model Pruning 1st

Efficient IoT Intrusion Detection: Integrating Random Forest...

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1st International conference on Electrical systems and Smart Technologies, ICESST 2024

作者： Bella, Kamal Mohy-Eddine, Mouaad Guezzaz, Azidine Benkirane, Said Azrour, Mourade Technology Higher School Essaouira Cadi Ayyad University Marrakesh Morocco ENSAM Hassan II University Casablanca Morocco IDMS Team Faculty of Sciences and Technics Moulay Ismail University of Meknès Mekens Morocco

ISBN: (纸本)9783031867040

The proliferation of the internet of Things (IoT) has revolutionized various industries, offering enhanced connectivity and automation. However, this rapid expansion has also introduced significant security vulnerabilities, making IoT networks prime targets for cyber-attacks. Intrusion Detection systems (IDS) are crucial for safeguarding these networks, providing real-time detection and response to potential threats. Machine learning-based IDS have emerged as effective solutions, offering the ability to analyze large volumes of network data and identify malicious activities with high accuracy. In this paper, we present a novel IDS model utilizing a Multi-Layer Perceptron (MLP), combined with Random Forest-based feature selection, to optimize detection performance while reducing model complexity. We evaluated the MLP model using four distinct feature sets (10, 20, 30, and 40 features) derived from the Ton-IoT dataset to assess the impact of feature selection on accuracy and efficiency. Subsequently, model pruning was applied to reduce the model size, ensuring its suitability for deployment in resource-constrained IoT environments. Our results demonstrate that the proposed approach effectively balances detection performance with resource efficiency, making it a robust solution for securing IoT networks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： network intrusion

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Smart and Adaptive Routing Architecture: An internet-of-Things Traffic Manager Based on Artificial Neural networks

Smart and Adaptive Routing Architecture: An Internet-of-Thin...

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1st IEEE International conference on Software Services Engineering (IEEE SSE)

作者： Amiri, Amirali Zdun, Uwe Univ Vienna Software Architecture Grp Doctoral Sch Comp Sci Vienna Austria Univ Vienna Software Architecture Grp Vienna Austria

ISBN: (纸本)9798350340754

Many studies have been performed on integrating the internet of Things (IoT) with cloud services. As these systems become widely used, quality metrics are of concern. For example, users might specify access control to restrict their sensitive data being processed in the cloud. Routers, e.g., API gateways, message brokers, or sidecars, can provide this access control by blocking or routing device data to a specific cloud service. However, a static routing application might not suit the dynamic behavior of IoT applications well. For example, in a centralized schema, where all device data is routed to a component for control checking, performance can be an issue. On the other hand, distributed routing can harm the reliability of a system, as device data might be lost due to an unresponsive service. We present the Smart and Adaptive Routing (SAR) architecture that creates an optimal reconfiguration solution using a deep neural network based on the quality metrics of an IoT application. To design our architecture, we give a background of the published studies and a review of the gray literature, e.g., practitioner blogs, to categorize the knowledge in the domain of IoT-cloud traffic management. We systematically evaluate our approach in an extensive evaluation of 4500 cases and compare SAR with an empirical data set of 1200 hours. The results show that our approach significantly improves quality-of-service measures by adapting the IoT-cloud system at runtime.

关键词： Self-Adaptive systems Dynamic Routing Architectures internet of Things Reliability and performance Trade-Offs IoT-Cloud Traffic Management Artificial Neural networks

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Throughput analysis of IoT enabled intra vehicular wireless network 1

Throughput analysis of IoT enabled intra vehicular wireless ...

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1st International conference on Innovations in Communications, Electrical and Computer Engineering, ICICEC 2024

作者： Soni, Dhruv Kumar Thakur, Kunal Taneja, Ashu Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350376517

The increasing number of sensors and electronic systems in modern vehicles has led to the need for efficient intra-vehicular communication networks. Integrating the internet of Things (IoT) concept with Intra-Vehicular Wireless network Sensors (IVWNSs) presents an opportunity to create smart and connected vehicle systems. This paper provides a comprehensive performance investigation of IoT-enabled IVWNSs to address the challenge of latency, throughput and scalability. The study begins with an overview of IoT-IVWNSs, highlighting the advantages of integrating IoT with intra-vehicular networks, such as enhanced vehicle security, safety, and convenience. A comparative analysis of existing technologies, including UWB, RFID, Wi-Fi, Bluetooth, and ZigBee, is conducted to identify the most suitable options for IoT-IVWNSs. The research then delves into the link design between end devices and the control unit, analyzing the performance of the network in terms of packet transmission delay under varying traffic loads and increasing numbers of end devices. We investigate the effect of log-normal shadowing on received power and throughput using analysis of the communication link between end devices and the central unit, therefore stressing the relevance of the path-loss exponent in signal attenuation and the inverse relationship between throughput and distance. It is observed that the delay increases to 123.5ms or 0.1235 seconds for distant users with high traffic loads. Also, the average throughput decreases with the increase in distance. At transmit power Pt of -20dBm, the average throughput of 12.5 kbps is obtained at a distance r of 4m. Our results highlight the need for efficient traffic management methods since they show that higher traffic loads and bigger network sizes produce more packet transmission delays. © 2024 IEEE.

关键词： Zigbee

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The Concept of a City Bike network Management System Using Fuzzy Sets

The Concept of a City Bike Network Management System Using F...

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IEEE International conference on Fuzzy systems (FUZZ-IEEE)

作者： Kiersztyn, Adam Kiersztyn, Krystyna Dolecki, Michal Lublin Univ Technol Dept Comp Sci Lublin Poland John Paul II Catholic Univ Lublin Dept Math Modelling Lublin Poland

ISBN: (纸本)9798350332285

Sustainable transport is the concept of efficient, low-cost transportation that minimizes the harmful impact of vehicles on the environment. One of the main ideas is to control exhaust emissions and promote means of transport that use renewable energy. Although the car is still the most popular, in the city it should not be the basis of our transportation. Examples of sustainable transportation include walking, bicycling, or riding a scooter. An increasing number of cities are opting for bike or scooter sharing systems. There is a need to develop a good management system for city rental vehicle networks to encourage and facilitate the use of sustainable means of transport by residents. In this study, the initial assumptions of a city bike network management system are presented. With the skillful use of fuzzy techniques, a method for predicting the travel speed and the availability of a destination station has been developed. In a series of numerical experiments, the high performance of the proposed approach is confirmed.

关键词： Granular computing speed forecasting management system sustainable transport transportation data

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performance Optimization in Transition Toward Open Industrial control systems 31

Performance Optimization in Transition Toward Open Industria...

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31st International conference on Software, Telecommunications and Computer networks, SoftCOM 2023

作者： Sverko, Mladen Grbac, Tihana Galinac Huljenic, Darko Danieli-Systec D.o.o. Part of Danieli C. S.p.A. Labin Croatia Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Juraj Dobrila University of Pula Department of Engineering Pula Croatia Ericsson Nikola Tesla D.d Zagreb Croatia

ISBN: (纸本)9798350301076

Digital transformation implies the comprehensive availability of data generated by the underlying process through-out the entire enterprise. In this regard, production facilities, i.e. industrial control systems (ICS) face significant challenges arising from the gradual transition toward a smart factory concept under the Industry 4.0 paradigm. This is particularly emphasized on the production floor which includes legacy devices with a lifetime spanning decades. Thus, a gradual and partial ICS transformation is required through multiple iterations over a long period of time. Such transition results in parallel data flows and increased network traffic over TCP/IP due to the partial integration of legacy systems into the Industrial internet of Things (iioT) network. In this paper, we propose traffic load reduction via optimal structuring of data flow sent via TCP/IP network. We have validated our approach by conducting performance tests on real hardware devices evaluating the device behavior in relation to different payloads and data transmission cycles. © 2023 University of Split, FESB.

关键词： Legacy systems

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internet of Things control Center 4

Internet of Things Control Center

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4th International conference on Signal Processing and Communication, ICSPC 2023

作者： Thomas, Vibha Terence, Sebastian Agrawal, Bishnu Immaculate, Jude Karunya Instittue of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India Sales - Mcaps Microsoft Technology Center Bangalore India Karunya Institute of Technology and Sciences Dept. of Mathematics Coimbatore India

ISBN: (纸本)9798350300772

The internet of Things (IoT) is a global network of 'smart gadgets' that can sense their environment, connect to them, and communicate with people and other systems. This articles presents an IoT control center that provides a comprehensive solution for managing and controlling Io devices in a network. The control center offers a user-friendly interface that enables administrators to monitor and control a wide range of devices, from a single dashboard. The IoT control center uses machine learning algorithms to analyze real-time data, enhancing device performance. The IoT control center also ensures the security of the devices and the data they generate, with the capability to identify anomalies and suspicious activity in real-time. The IoT control center in this paper emphasizes on two main use-cases namely, Smart Agriculture System, Spatial Analysis, but isn't confined to just these two use cases, in fact, proselytizes as many use cases possible into a single control center. The system provides a centralized interface for administrators to monitor, analyze and automate connected devices, enabling efficient and effective device management. © 2023 IEEE.

关键词： Object detection

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Novel Slice Admission control Scheme with Overbooking and Dynamic Buyback Process

Novel Slice Admission Control Scheme with Overbooking and Dy...

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4th IEEE conference on network Function Virtualization / 9th Software Defined networks conference (IEEE NFV-SDN)

作者： Yese, Solomon Orduen Berri, Sara Chorti, Arsenia CY Cergy Paris Univ ETIS ENSEA CNRSUMR 8051 F-95000 Paris France

ISBN: (纸本)9798350302547

In 5G and beyond systems, network slicing plays a key role as it enables infrastructure providers (InPs) to create logical networks (slices) and virtually share network resources to their tenants. However, due to the limited nature of network resources of the InP, resource management algorithms like resource allocation and admission control are required to ensure efficient management of the InP's scarce resources. Indeed, admission control algorithms play a critical role of regulating access to the network, by determining whether a slice request should be accepted or not with respect to some standards such as maximizing the InP's revenue and maintaining service level agreements (SLAs). In this paper, we propose an admission control algorithm that employs the concept of overbooking which allows the InP to admit slice requests beyond it's nominal available resources. Moreover, we employ a dynamic queue adaption priority, step-wise pooling and dynamic buyback price mechanism to ensure efficient and profitable admission decision for the InP. We assess the performance of the proposed algorithm against state of the art (SOTA) solution considering different priority schemes. The results show that the proposed solution outperforms the SOTA solution as it yields i) higher revenue, ii) lower buyback cost and iii) higher net revenue for the InP while still maintaining a marginally higher slice acceptance rate.

关键词： Admission control network Slicing 5G/B5G Dynamic Priority Dynamic Pricing

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