Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 32 for “"IoT networks"”.
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Distributed and Federated Learning over IoT networks
L'abstract è presente nell'allegato / the abstract is in the attachment
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Adaptive systems for DDoS attacks detection and mitigation in IoT networks
The rapid growth of IoT devices has revolutionized industries while exposing IoT networks to cybersecurity threats, particularly DDoS attacks, which compromise network stability. Traditional detection methods struggle to address the constraints of resource-limited environments, scalability, and the …
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Generating datasets for anomaly-based intrusion detection systems in IoT networks
… witnessed the emergence of Internet of Things (IoT) networks that bring significant benefits to citizens, society, and industry. However, their heterogeneous and resource-constrained nature makes them vulnerable to a wide range of threats and an attractive target to attackers with a wide …
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Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks
… Vehicles (UAVs) with Green Internet of Things (GIoT) provides a transformative approach to environmental monitoring, enhancing the flexibility, efficiency and sustainability in various applications such as smart cities, wildfire detection, military operations, and smart agriculture. UAVs, …
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Towards an Efficient Network Intrusion Detection System for IoT Networks Leveraging Graph Neural Networks
… are barely effective for identify new attacks in IoT traffic because they treat network flows independently. Graph Neural Networks (GNNs) have emerged as a promising alternative having the ability to capture the underlying network topology. However, existing approaches focus solely on either node …
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A framework for anomalous activity analysis for intrusion detection with applications to IoT networks
… part of our daily lives. The Internet of Things (IoT) has recently attracted considerable attention in the information technology industry due to its various benefits. IoT activities increase the quantity of information shared. It produces new services through the Internet due to advancements in …
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Optimizing Deep Learning and Machine Learning Models for Real-Time Intrusion Detection in IoT Networks
The rapid growth of Internet of Things (IoT) deployments has expanded the network attack surface and increased the operational need for intrusion detection systems (IDS) that remain accurate under multi-class class imbalance while also being computationally feasible for near-real-time use. Using …
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Evaluating Routing Protocol for Low power and Lossy Networks (RPL)-Based Load Balancing Routing Algorithms in Internet of Things (iot) Networks
The Internet of Things (IoT) is the network of different objects communicating different information in different scenarios. The networking objects are embedded with low-power devices that are responsible for collecting data in the physical environment and transmitting the data from one point to …
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Secure and scalable blockchain mechanisms for IoT applications
Integrating blockchain with IoT ensures secure, transparent data exchange through immutability and consensus mechanisms, preventing data tampering. However, the increasing number of IoT devices raises risks like unauthorized access and network attacks. Blockchain scalability issues also affect …
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Intrusion Detection and Anomaly Identification in Internet of Things Networks
… and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of …
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Building Trustworthy Artificial Intelligence of Things Systems in Adversarial Environments
… ways. Among all broad topics related to AI and IoT, the Artificial Intelligence of Things, abbreviated as AIoT, focuses specifically on the convergence of these two exciting technologies, combining AI's intelligence with IoT's connectivity and data-gathering capabilities. Until now, numerous …
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Secured and Versatile IoT Connectivity: A Novel LoRa-Based Approach with Enhanced Encryption, Key Exchange, Real-Time Data Visualization, and Dynamic Storage Integration
… resulting from the rise of Internet-of-Things (IoT) applications. By incorporating the recently approved National Institute of Standards and Technology (NIST) ASCON cryptographic standard and the Advanced Encryption Standard (AES) 256, this project enhances the security of IoT networks within a …
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Towards Secure and Resilient Machine Learning Systems
… the dominance of convolutional neural networks (CNNs). Another transformative advancement is Federated Learning (FL), a decentralized learning paradigm that preserves data privacy while enabling collaborative model training across distributed clients. Given its advantages in …
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Communication Efficiency: Superposition Strategies and Early Decoding
… control to large-scale battery-powered IoT networks. These systems impose stringent requirements on latency, reliability, and energy consumption that challenge conventional communication design. This work investigates, from an information-theoretic perspective, communication techniques …
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The impact of Rayleigh fading channel effects on the RF-DNA fingerprinting process
The Internet of Things (IoT) consists of many electronic and electromechanical devices connected to the Internet. It is estimated that the number of connected IoT devices will be between 20 and 50 billion by the year 2020. The need for mechanisms to secure IoT networks will increase dramatically as …
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Evaluating effectiveness of an embedded system endpoint security technology on energy delivery systems
The Internet of Things (IoT) is starting to take off in the modern day tech scene, with almost every user device being connected to a huge network with other devices; industrial energy delivery systems are no different. However, IoT in industry (known as IIoT) severely lags behind conventional IoT …
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Information Freshness: How To Achieve It and Its Impact On Low- Latency Autonomous Systems
… vehicle's locations, (ii) updates from IoT devices need to be aggregated appropriately at the monitoring station before the information gets stale to extract temporal and spatial information from it, and (iii) sensors and controllers in a smart grid need to track the most recent state of …
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Tenko: A Zero Trust Inspired Framework for Real-Time Network Defense via Intelligent Thresholding and Node-Level Anomaly Scoring
… detecting unusual or harmful behavior on networks is more important than ever. Traditional systems that monitor for cyber threats often rely on fixed rules or need labeled examples of attacks, which makes them less effective in real-world, fast-changing environments. This thesis introduces …
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Physical layer security for IoT applications
The increasing demands for Internet of things (IoT) applications and the tremendous increase in the volume of IoT generated data bring novel challenges for the fifth generation (5G) network. Verticals such as e-Health, vehicle to everything (V2X) and unmanned aerial vehicles (UAVs) require …
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Software-hardware systems for the Internet-of-Things
… realizing the dream of the Internet of Things (IoT). The main challenge in delivering IoT systems stems from a huge diversity in their demands and constraints. Some applications work with small sensors and operate using minimal energy and bandwidth. Others use high-data-rate multimedia and …
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