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2nd International conference on Artificial Intelligence, Blockchain, and internet of Things, AIBThings 2024

作者： Abed, Ghassan A. Al-Iraqia University Network Engineering Department Engineering College Iraq

ISBN: (纸本)9798331529529

Software-defined networking is a mature technology that has been included into several networks and new designs including 5 G and 6 G. It is a paradigm change that adopts dynamic software-driven models instead of old hardware-centric paradigms, resulting in network infrastructures that are nimble, efficient, and safe. Additionally, SDN complies with the network Function Virtualization Framework's virtualization design. SDN must, however, work harmoniously for a few years with the global distributed control of TCP/IP that has evolved over time. The standard chores of routing, load balancing, quality of service, security, and privacy need to be resolved, among other things. In addition, the initial centralization of SDN presents unique difficulties and problems for dispersed control that set it apart from conventional IP networks. The ability of the algorithms and protocols used in SDN to scale the network by adding new devices, respond quickly in real time, and use organized automation to make the network more flexible and adaptable are the three main requirements that need to be met in order for the algorithms and protocols to be proven effective. In addition to a critical analysis and comparison of multiple algorithms with the goals of routing, rerouting, load balancing, traffic optimization, and reducing rerouting delay, this paper offers a theoretical assessment of the most recent SDN optimization techniques. This paper also discusses important algorithms that can provide feasible solutions to solve problems in large systems or multi-scale routing. © 2024 IEEE.

关键词： Quality of service

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Polarized Modulation for RIS-Aided Vehicular Communication networks

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IEEE internet of Things Journal 2025年第12期12卷 18616-18627页

作者： Shang, Pingping Xie, Longhui Li, Jun Feng, Li Hai, Han Xu, Binbin Li, Jie Yu, Ling Hubei University of Technology School of Electrical and Electronic Engineering Wuhan430068 China Hubei University of Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Wuhan430068 China Guangzhou University Research Center of Intelligent Communication Engineering School of Electronics and Communication Engineering Guangzhou510006 China Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes Guangzhou510006 China Donghua University School of Information Science and Technology Shanghai201620 China Maritime Communication Research Institute Wuhan430068 China Guangdong Provincial Hospital of Chinese Medicine Guangzhou510120 China State Key Laboratory of Traditional Chinese Medicine Syndrome Guangzhou510120 China

The reconfigurable intelligent surface (RIS) stands as an emergent technique poised to revolutionize future vehicular communication. In order to facilitate the application of RIS in vehicular communication, this paper proposes two effective RIS-aided schemes tailored for polarization modulation (PM) aiming to achieve remarkable spectral efficiency. Specifically, Scheme I proposes a novel index modulation (IM) aided PM-RIS framework that innovatively encodes information across three distinct dimensions, the indices of dual-polarized antennas (DP-AEs), PM symbols and the reflecting surface indices of the RIS. Scheme ii employs a deep neural network method to analyze the channel state information (CSI) for transmit antenna selection, that enhances the reliability and interference immunity in dynamic conditions while reducing computational complexity. Furthermore, a stepwise estimation (SE) method is introduced at the detection stage, which significantly reduces the complexity associated with information decoding. The simulation results highlight the superiority of the proposed system. Compared with traditional PM systems, it demonstrates enhanced performance in terms of spectral efficiency, channel stability, and bit error rate (BER). © 2014 IEEE.

关键词： Signal modulation

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Smart-Sec: DL-based Cyber Threat Detection for Autonomous Smart Home System to Enhance Human Life Expectancy 10

Smart-Sec: DL-based Cyber Threat Detection for Autonomous Sm...

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10th IEEE International conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)

作者： Jain, Naman Patel, Manas Ramoliya, Fenil Gupta, Rajesh Tanwar, Sudeep Garg, Deepak Nirma Univ Inst Technol Dept Comp Sci & Engn Ahmadabad Gujarat India SR Univ Sch Comp Sci & AI Warangal Telangana India

ISBN: (纸本)9798350385939;9798350385922

Autonomous Smart Home (ASH) systems incorporate various sensors and internet of Things (IoT) modules to automate and enhance residential functionality. ASH represents an IoT communication paradigm for decision-making, data analysis, task automation during triggered events, and remote accessibility. However, the connectivity of modules via wired and wireless channels can introduce cybersecurity challenges, including data privacy concerns, device tampering, network weaknesses, lack of standardization, and risks associated with firmware and software vulnerabilities. Cyber breaches in ASH can have catastrophic effects, such as unauthorized control of critical home, medical systems, emergency response interference, automated lock system failures, and critical home-appliance sabotage. To address this concern, we propose Smart-Sec, which leverages a deep learning-based Convolutional Neural network (CNN) architecture. The performance of Smart-Sec was evaluated using various optimization algorithms, accuracy comparison, loss depiction, confusion matrix, precision, recall, and F1-score. Among all algorithms, our one-dimensional CNN architecture performed well with the RMSProp optimizer.

关键词： Smart Home network Security CNN IoT DL

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controllable False Data Injection Attack 5th

Controllable False Data Injection Attack

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5th International conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Kokkonda, Jayasree Jahnavi, M. Department of Information Technology G. Narayanamma Institute of Technology and Science Hyderabad India Department of Computer Network and Information Security Narayanamma Institute of Technology and Science Hyderabad India

ISBN: (纸本)9789819780426

Yet the internet of Things continues to grow significantly. A cyber-physical system faces a variety of security challenges due to the network connections made by the various kinds of devices and large systems that make up national infrastructures like a smart grid. Here, For the forward flow and the feedback path of a control system, respectively, we suggest two fake data injection attacks. Both are made using a variable parameter that determines the degree of deterioration. On the forward path, a linear forward assault is created together with the least squares approach. The Kalman filter is constructed on the feedback route. According to the numerical analysis, the suggested assaults govern how much the performance of the control system declines. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Kalman filters

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Research on the Collaborative Mechanism of P4Runtime and SAI in White Box Switches Based on the SONiC System 5

Research on the Collaborative Mechanism of P4Runtime and SAI...

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5th IEEE International conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Pan, Zhuyu Wang, Hongchao Yan, Chen Zhang, Zishi School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9798331533694

With the advancement of Software-Defined networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emerging programmable platforms remains a critical research challenge. This paper proposes a fusion architecture based on the P4Runtime protocol to achieve deep integration of SONiC white box switches and the P4 platform. By introducing SDN programmability, we design and implement a hybrid model that enables traditional network architectures to achieve advanced functionalities with the assistance of external SDN controllers. This paper provides a detailed discussion of the architecture design and implementation process, including P4 code development, compilation, target configuration file generation, and interaction mechanisms between the control plane and the data plane. Furthermore, we validate the applicability and performance of the architecture in various scenarios, offering robust support for future research and applications in programmable networks. © 2025 IEEE.

关键词： internet protocols

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Fog computing-empowered smart systems for latency-sensitive control applications 20

Fog computing-empowered smart systems for latency-sensitive ...

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20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Laroui, Mohammed Ihn-khedher, Hatem Banoun, Nathalie Capgemini Engn Res & Innovat Dept Paris France

ISBN: (纸本)9798350361261;9798350361278

The evolution in the generations of smart applications has led to great challenges in terms of providing low latency and high computing efficiency. One of the most important of these applications is for smart homes, through which various connected devices can be controlled by smart and efficient systems to achieve high service quality. In this paper, we propose a smart home controller based on fog computing, where home services are migrated from the cloud to the fog servers at the edge of the network. We propose an exact algorithm called Optimal Migration Algorithm (OMA) that allocates unified fog computing servers to different services. Moreover, to deal with large-scale networks, we propose an efficient algorithm called Efficient Migration Algorithm (EMA). The performance evaluation shows that the proposed optimization solutions are efficient in terms of migration cost, time, and end-to-end latency.

关键词： internet of Things (IoT) Edge/Fog Computing Cloud Computing Smart Home

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Utilizing Key internet of Things Concepts in Improving the performance of Card-Based Access control systems for Vehicles in Truck-Loading Fuels Terminals 10

Utilizing Key Internet of Things Concepts in Improving the P...

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10th International conference on Industrial Engineering and Applications, ICIEA 2023

作者： Bahgat, Moatz M. Farag, Hania H. Alim, Onsy Abdel Faculty of Engineering Alexandria University China

ISBN: (纸本)9781643684086

The internet of Things (IoT) is viewed as the umbrella under which heterogeneous devices are connected to form what is called the network of the future (NoF). In the IoT era, all objects and devices are instrumented, interconnected, and interacted with each other in a smart manner. Those smart Things gather huge amounts of data from the real world and stream them up to the digital services running in the cloud. This paper;however, attempts to demonstrate practically that the internet of Things is more than just connecting the cyber and physical worlds, but it may also improve the performance of existing systems and applications drastically if its concepts were used efficiently. Many different types of communication systems and networks might benefit from the efficient utilization of IoT concepts, being architectural concepts, communication models, or key IoT-enabling technologies. © 2023 The authors and IOS Press.

关键词： Access control

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Optimizing Lighting Efficiency Through Automated Smart Lighting systems: A Study on network-Based performance 6

Optimizing Lighting Efficiency Through Automated Smart Light...

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6th International conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Sari, Lestari Ningratna Anwariningsih, Sri Huning Khusnuliawati, Hardika Susilo, Dahlan Informatics Departement Universitas Sahid Surakarta Surakarta Indonesia

ISBN: (纸本)9798331539603

Electrical lighting systems contribute to approximately 20% of global electricity consumption and 6% of carbon dioxide (CO2) emissions, underlining the urgent need for more efficient and adaptable lighting solutions. Addressing the inefficiency of traditional manual lighting controls is crucial for reducing energy waste, especially in the global energy crisis and increasing carbon emission reduction targets. Despite advances in lighting systems, existing solutions often lack integration of intelligent control and real-time adaptability across diverse networks. This research addresses these gaps by developing a novel automated smart lighting system to optimize energy usage through intelligent control across multiple network environments. The proposed prototype integrates Raspberry Pi modules, relay modules, JavaScript Object Notation (JSON), Thonny IDE, and a web-based Application Programming Interface (API) to enable seamless automation and remote operation. The proposed system was tested under various conditions: local area network (LAN), wide area network (WAN), offline functionality, and across multiple web browsers to evaluate latency and operational reliability. The research results demonstrate that the system performs efficiently online and offline within the same or different networks. For online operations within the same network, delay times for light A ranged between 27 to 39 seconds, light B from 37 to 39 seconds, and light C at 33 seconds. The fastest delay on different networks was 5 seconds, with the longest at 39 seconds. Chrome browser exhibited the fastest performance with a delay of 6 seconds, while Samsung internet had the longest delay at 39 seconds. These findings highlight the system's adaptability and potential for energy savings, though further work is required to optimize latency and extend network coverage. © 2024 IEEE.

关键词： Web browsers

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Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services 26

Effects of Dynamic and Stochastic Travel Times on the Operat...

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IEEE 26th International conference on Intelligent Transportation systems (ITSC)

作者： Wolf, Fynn Engelhardt, Roman Zhang, Yunfei Dandl, Florian Bogenberger, Klaus Tech Univ Munich Chair Traff Engn & Control D-80333 Munich Germany

ISBN: (纸本)9798350399462

Mobility-on-Demand (MoD) services have been an active research topic in recent years. Many studies focused on developing control algorithms to supply efficient services. To cope with a large search space to solve the underlying vehicle routing problem, studies usually apply hard time-constraints on pick-up and drop-off while considering static network travel times to reduce computational time. As travel times in real street networks are dynamic and stochastic, assigned routes considered feasible by the control algorithm in one time step might become infeasible in the next. Nevertheless, once the service is confirmed, it is imperative that those customers remain part of the assignment. Hence, damage control measures have to counteract this effect. This research integrates an elaborate simulation framework for MoD services with a microscopic traffic simulation to consider dynamic and stochastic network travel times. Results from a case study for Munich, Germany show, that the combination of inaccurate travel time estimation and damage control strategies for infeasible routes deteriorates the performance of MoD services - hailing and pooling - significantly. Moreover, customers suffer from unreliable pickup time and travel time estimations. Allowing re-assignments of initial vehicle schedules according to updated system states helps to restore system efficiency and reliability, but only to a minor extent.

关键词： Travel time

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Impact of Delays and Computation Placement on Sense-Act Application performance in IoT

Impact of Delays and Computation Placement on Sense-Act Appl...

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41st IEEE Military Communications conference (IEEE MILCOM) - Communications Supporting Military Operations in a Contested Environment

作者： Sharma, Pragya Srivastava, Mani B. Univ Calif Los Angeles Dept Elect & Comp Engn Los Angeles CA 90024 USA

ISBN: (纸本)9798350321814

This paper investigates the challenges posed by delays in Closed-Loop Sense-Act systems in the context of Adversarial internet of Things (IoT) applications. Prior work focused on studying the impact of delays on a single resource-constrained platform. To capitalize on the capabilities of different computing platforms, this work investigates the adaptation of control placement to optimize application performance in distributed settings. An Adaptive control Placement (ACP) strategy is introduced, which dynamically switches between a local controller with lower accuracy and a cloud controller with higher accuracy based on network dynamics, optimizing overall application performance. The effectiveness of the ACP strategy is evaluated using a simulated Vehicle Following application in the PyBullet simulator. The results demonstrate that in terms of a time-to-complete (TTC) metric, the ACP strategy consistently outperforms strategies that use a fixed combination of controller type and location (e.g., PID at Local and MPC at Cloud) across various deadline scenarios.

关键词： Sense-Act system Adversarial IoT PID MPC Adaptive control

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