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Quantum Cryptography Using Blockchain for 6G Enabled internet of Vehicles 1

Quantum Cryptography Using Blockchain for 6G Enabled Interne...

引用

1st international conference on Advanced computing and Emerging Technologies, ACET 2024

作者： Bhatt, stuti Sharma, Sachin Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Graphic Era Hill University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350367720

The advent of 6G technology opens new horizons for communication systems, particularly in the context of internet of Vehicles (IoV). This interconnected ecosystem facilitates innovative IoT applications, revolutionizing intra-vehicle and inter-vehicle communications. However, the extensive cellular infrastructure of 6G introduces unprecedented security challenges, demanding advanced defense mechanisms against cyber threats. Quantum cryptography emerges as a robust solution, offering rapid and secure communication channels among vehicles while ensuring data integrity. By harnessing the principles of quantum mechanics such as entanglement and superposition, quantum cryptography enables secure data transmission immune to interception or manipulation. This paper presents a comprehensive review of the integration of quantum cryptography with blockchain technology in the context of 6G-enabled IoV. Furthermore, leveraging the processing capabilities of edge nodes, the proposed framework prioritizes critical 6G Key Performance Indicators (KPIs) including trustworthiness, latency, connectivity, data rate, and energy consumption. Through this approach, this paper explores the potential of quantum cryptography and blockchain within the further evolving landscape of 6G-enabled internet of vehicle security. © 2024 IEEE.

关键词： Blockchain

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Advancing Color Perception: An IoT-driven Pedagogical System for Visually Impaired Children 1

Advancing Color Perception: An IoT-driven Pedagogical System...

引用

1st IEEE international conference on Advances in Signal Processing, Power, Communication, and computing, ASPCC 2024

作者： Balage, Prasandika Jayawardene, Nuwan University of Westminster School of Computer Science and Engineering London United Kingdom Informatics Institute of Technology Department of Computing Colombo Sri Lanka

ISBN: (纸本)9798350355093

Visual impairment is characterized by the loss of vision, encompassing both complete blindness and partial vision loss. studies reveal a notable prevalence of visual impairment among school-aged children. The significance of colors in acquiring and discerning visual information is crucial, aiding children in effectively perceiving and comprehending their surroundings. This study presents an internet of Things (IoT) system designed for teaching colors to visually impaired children. The system achieved an accuracy rate surpassing 77.8%, and it is operated effectively regardless of surrounding lighting conditions. Given that the target users of the system are visually impaired children, this research was conducted in close alignment with Human-Computer Interaction (HCI) principles. © 2024 IEEE.

关键词： Color vision

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An Investigation into the Practical Use of internet of Things technology in Smart City Applications 1

An Investigation into the Practical Use of Internet of Thing...

引用

1st international conference on Cognitive, Green and Ubiquitous computing, IC-CGU 2024

作者： Das, Rashmi Prava Muduli, Debendra Luhach, Ashish Kumar CV Raman Global University Computer Science and Engineering Department Bhubaneswar India Papua New Guinea University of Technology Department of Electrical and Communication Engineering Morobe Lae Papua New Guinea

ISBN: (纸本)9798350361780

This study presents a comprehensive method of mixing randomly generated simulated datasets to analyze several internet of Things (IoT) applications in the context of smart cities Using matplotlib and numpy libraries, combined with Python programming language, analysis simulate real-time data on temperature, air quality and energy consumption. The learning methodology includes making pie charts, line plots, bar graphs etc. to present the findings graphically for understanding the application of internet of Things in smart cities. Devery of smart city experiences, weather water system, traffic reduction, temperature over time, smart homes, smart parking areas. From temperature change to smart home to parking lot and city specific of car reduction experiences, each model provides insight into the dynamic features of a smart city implementation method of learning that combines visual techniques and simulated randomly produced information providing a strong foundation for analyzing potential technological impacts Enhances the discussion on smart and sustainable urban development towards the goal of creating resilient and adaptive smart cities. © 2024 IEEE.

关键词： Data visualization

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Cluster Head Selection in IoT Networks Using Salp Swarm Optimization 1

Cluster Head Selection in IoT Networks Using Salp Swarm Opti...

引用

1st IEEE international conference on Advances in Signal Processing, Power, Communication, and computing, ASPCC 2024

作者： Agrawal, Deepika Nit Raipur Information Technology Raipur India

ISBN: (纸本)9798350355093

Two major issues concerning handling internet of Things (IoT) networks are energy efficiency and efficient data transfer, especially in large-scale deployments. A popular technique to increase network efficiency is cluster-based routing protocols, in which data aggregation and communication are made easier by cluster heads (CHs). The lifespan and consumption of the energy in the network are directly impacted by the CHs that are chosen. Advanced methods for cluster head selection have been developed because of the increasing demand for reliable, scalable, and energy-efficient IoT networks. To maximize CH selection, the current investigation presents a unique cluster head selection technique based on Salp Swarm Optimization (SSO), which takes distance to the sink and remaining energy into account as fitness functions. When compared to conventional approaches, the proposed strategy shows substantial improvements in network lifespan and energy efficiency. © 2024 IEEE.

关键词： CH Selection internet of Things (IoT) Salp Swarm Optimization Wireless Sensor Networks

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Security Considerations for internet of Things (IoT): Exploring Quantum computing Solutions 1

Security Considerations for Internet of Things (IoT): Explor...

引用

1st international conference on Innovative and Intelligent Information Technologies, IC3IT 2024

作者： Achouri, Youssouf Djellab, Rima Hamouid, Khaled Berkani, Ahmed-Sami University of Batna 2 LaSTIC Laboratory 05000 Algeria University of Batna 2 Lamie Laboratory 05000 Algeria

ISBN: (纸本)9798331541064

The extensive use of internet of Things (IoT) technology has transformed sectors including healthcare, smart urban development, manufacturing, and domestic automation. Despite these advancements, the surge in IoT applications has brought about significant security challenges, threatening data confidentiality, integrity, and availability. Conventional security solutions often fall short in addressing the unique constraints of IoT environments, including limited computational power, system diversity, and scalability demands. This paper presents A comprehensive examination of the security issues associated with internet of Things (IoT) systems, emphasizing key protective strategies and the emerging role of quantum computing. It discusses core security requirements for IoT ecosystems and investigates how technologies like Quantum Key Distribution (QKD) and Post-Quantum Cryptography can bolster defenses. The study seeks to support the design of robust IoT systems capable of addressing present and future security threats. © 2024 IEEE.

关键词： Quantum cryptography

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Cybersecurity Based on Converged Form of Blockchain, internet-of-Things and Machine Learning in Smart Micro-Grid 1

Cybersecurity Based on Converged Form of Blockchain, Interne...

引用

1st international conference on computing, internet of Things and Microwave Systems, ICCIMS 2024

作者： Said, Dhaou Rehmani, Mubashir Husain Mellal, Idir Oukaira, Aziz Lakhssass, Ahmed Uuniversity of Sherbrooke Dept. Electrical and Computer Engineering SherbrookeQC Canada Munster Technological University Bishopstown Cork Ireland Temerty Center for AI Research and Education in Medicine University of Toronto TorontoON Canada University of Quebec in Outaouais GatineauQC Canada

ISBN: (纸本)9798350351736

This paper explains the main cybersecurity problems facing SMG systems and the role of IoT, ML and Blockchain technologies in addressing them. It highlights how IoT, ML, and Blockchain can converge to meet SMG data privacy preservation and cyber-attack protection. Finally, Blockchain, standards and regulations are discussed as open issues and challenges of the perfect fitting of technologies in the SMG cybersecurity. © 2024 IEEE.

关键词： Cyber attacks

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Intrusion Detection System for Cyber-attacks in the internet of Vehicles (IoV) Environment 1

Intrusion Detection System for Cyber-attacks in the Internet...

引用

1st international conference on Cyber Security and computing, CyberComp 2024

作者： Hanifa, Mueez Zubair, H.T. Multimedia University Faculty of Computing and Informatics Cyberjaya63100 Malaysia

ISBN: (纸本)9798350387728

This report presents the development of an Intrusion Detection System (IDS) designed to detect cyber-attacks in an internet of Vehicles (IoV) environment. The IDS employs machine learning techniques, specifically Support Vector Machines (SVM), and is implemented on two low-memory, low-speed microcontroller systems connected to a CAN bus. The model is trained on real-world data, sourced from a publicly available dataset collected from a Hyundai Avante CN7, using Python-based tools on a computer. The resulting coefficients and biases are extracted and embedded into a C program, which runs on the microcontrollers. The final implementation achieved an accuracy of 83%, with a precision of 97% and a recall of 68%. © 2024 IEEE.

关键词： Microcontrollers

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Smart Precision Farming Using internet of Things and Machine Learning 1

Smart Precision Farming Using Internet of Things and Machine...

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1st international conference on Cognitive, Green and Ubiquitous computing, IC-CGU 2024

作者： Yadav, Devendra Kumar Das, Subha Ranjan Sahoo, Satyam Barua, Ipsita Sahoo, Dibyam XIM University Computer Science And Engineering Bhubaneswar India

ISBN: (纸本)9798350361780

Machine learning (ML) and internet of Things (IoT) together have a revolutionary impact on agriculture, such as precision farming, which uses cutting-edge technology to address the challenges of unsupervised and random farming practices. Soil testing is a major component of farming that provides knowledge regarding the properties of soil. By measuring the pH level and nutrient deficiencies, the outcome of this test provides knowledge about the fertility and health of the soil. This involves the sampling and testing of each nutrient with certain chemicals, which are further analyzed by experts. This paper presents an innovative framework that harnesses the fusion of IoT and ML to redefine traditional farming methods. In addition, a prototype was created with a combination of various sensing devices, and various analyses of algorithms were performed on the gathered dataset for recommendation. The findings highlight a potential crop suitable for a particular set of soil parameters. © 2024 IEEE.

关键词： internet of things

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Application of Network Calculus Models to Heterogeneous streaming Applications

Application of Network Calculus Models to Heterogeneous Stre...

引用

1st international conference on Smart Energy Systems and Artificial Intelligence (SESAI)

作者： Faber, Clayton J. Chamberlain, Roger D. SimpleRose St Louis MO 63101 USA Washington Univ Dept Comp Sci & Engn St Louis MO 63110 USA

ISBN: (纸本)9798350364613;9798350364606

Network calculus has seen extensive use in the performance modeling of communications systems. Here, we apply network calculus techniques to the modeling of streaming data applications running on heterogeneous computing platforms. We quantitatively compare the performance predictions from network calculus with predictions from a discrete-event simulation model and a previously presented queuing theory model.

关键词： performance modeling network calculus streaming data systems

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IoT-Based Service Allocation in Edge computing Using Game Theory 21st

IoT-Based Service Allocation in Edge Computing Using Game Th...

引用

21st international conference on distributed computing and Intelligent technology

作者： Agrawal, Kushagra Goktas, Polat Sahaol, Biswajit Swain, Sujata Bandyopadhyay, Anjan KIT Deemed Be Univ Sch Comp Engn Bhubaneswar India Univ Coll Dublin Sch Comp Sci Dublin Ireland

ISBN: (纸本)9783031814037;9783031814044

The rapid growth of the internet of Things (IoT) has created a pressing need for efficient service allocation methods to manage the multitude of connected devices. Edge computing has become essential to fulfill the low-latency and high-bandwidth demands of IoT applications. This paper investigates the use of game theory as a framework for optimizing service allocation in edge computing environments. By treating the interactions between IoT devices and edge servers as a strategic game, we propose strategies to achieve optimal allocation and resource utilization. Our approach tackles key challenges such as minimizing latency, improving energy efficiency, and balancing load. Experimental results indicate that game-theoretic methods greatly improve the performance and scalability of IoT systems in edge computing, positioning them a promising solution for future applications.

关键词： Edge computing internet of Things (IoT) Game Theory

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