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Filtering by: Creator Chen, H. Remove constraint Creator: Chen, H. Advisor Hamdaoui, Bechir Remove constraint Advisor: Hamdaoui, Bechir

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  • Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

    Creator:
    Gaskin, Jared
    Abstract:
    In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
    Resource Type:
    Masters Thesis
    Full Text:
    : Bechir Hamdaoui Lizhong Chen In recent years, RF (Radio Frequency) device fingerprinting using deep

  • Delay-Aware Resource Management Frameworks for Intelligent Vehicular Networks

    Creator:
    Almasari, Shahad A.
    Abstract:
    Autonomous vehicles bring great societal benefits but also potential impact and disruption to road safety, traffic congestion, and driving behaviors. One important technology that is indispensable to the success of such systems is vehicular networks. Vehicular networks provide the backbone for ensuring communication and connectivity among vehicles, all crucial to...
    Resource Type:
    Masters Thesis
    Full Text:
    guidance. Finally, I am also grateful to my committee members: Professor Lizhong Chen, Professor Bella Bose

  • Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

    Creator:
    Basha, Nora
    Abstract:
    Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
    Resource Type:
    Masters Thesis
    Full Text:
    antennas sending an STBC signal over a flat fading channel defined by the L×M channel matrix H. STBC

  • Collaborative Filtering-Based In-Network Content Placement and Caching for 5G Networks

    Creator:
    Alorayj, Haya
    Abstract:
    As the number of wireless devices, the demand for high data rates, and the need for always-on connectivity are growing and becoming more stringent with the evolvement and emergence of 5G systems, network engineers and researchers are being faced with new unique challenges that need to be addressed. Among many...
    Resource Type:
    Masters Thesis
    Full Text:
    caching H �les based on item-based collaborative �ltering (CF), which will be further explained in Chapter

  • Location Privacy-Preserving Strategies for Secondary Spectrum Use

    Creator:
    Grissa, Mohamed
    Abstract:
    The scarcity of wireless spectrum resources and the overwhelming demand for wireless broadband resources have prompted industry, government agencies and academia within the wireless communities to develop and come up with effective solutions that can make additional spectrum available for broadband data. As part of these ongoing efforts, cognitive radio...
    Resource Type:
    Dissertation
    Full Text:
    committee members Professor Mag- gie Niess, Professor Lizhong Chen and Professor Mike Rosulek, for

  • Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing

    Creator:
    Zaid, Adem
    Abstract:
    This thesis proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative spectrum sensing. The proposed technique reduces the number of required sensing measurements while accurately recovering spectrum occupancy information. It does so by leveraging compressive sampling theory to exploit the block-like...
    Resource Type:
    Masters Thesis
    Full Text:
    leads 25 0 100 200 300 400 500 Time Index 0 100 200 300 S en si n g O v er h ea d Proposed

  • A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

    Creator:
    Al-kalbani, Mohamed A.
    Abstract:
    In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
    Resource Type:
    Masters Thesis

  • Energy-Aware Gossip Techniques for Wireless Broadcasting

    Creator:
    Li, Tingzhi
    Abstract:
    The current state of research on gossip techniques for wireless broadcasting is very limited because past research efforts have mostly focused on using gossip techniques for multicast communication. On the other hand, those research efforts that have focused on using gossip techniques for wireless broadcast communications ignore energy efficiency and...
    Resource Type:
    Masters Thesis

  • Quality of Experience Assurance Methods in Mobile Heterogeneous Wireless Communication Systems

    Creator:
    Sinky, Hassan Hussein
    Abstract:
    The proliferation of mobile users and internet content has advanced a plethora of research areas. Among these areas include mobile networks, transport layer protocols, and smart cities. Research shows that global mobile data traffic will increase sevenfold reaching 49 exabytes per month by 2021, most of which will be mobile...
    Resource Type:
    Dissertation

  • Leveraging Hardware-Impaired Out-of-Band Information Through Deep Neural Networks for Robust Wireless Device Classification

    Creator:
    Elmaghbub, Abdurrahman A.
    Abstract:
    Wireless device classification techniques play a key role in promoting emerging wireless applications such as allowing spectrum regulatory agencies to enforce their access policies and enabling network administrators to control access and prevent impersonation attacks to their wireless networks. Leveraging spectrum distortions of transmitted RF signals, caused by transceiver hardware...
    Resource Type:
    Masters Thesis
    Full Text:
    to the rest of my defense committee: Dr. Arun Natarajan, Dr. Lizhong Chen, Dr. Rakesh Bobba, and Dr