Communications

Device Fingerprinting for Access Control over a Campus and Isolated Network

Device Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 packets and using Convolutional Neural Network on the generated graphs to identify a device. We did two experiments where the first experiment was on Raspberri Pi and other experiment was on crawdad dataset.

 

First Experiment: Raspberry Pi

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  • Communications
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    Sat, 01/26/2019 - 09:08

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    Tue, 06/11/2019 - 18:24

    Design of novel RF front-end hardware architectures and their associated measurement algorithms.Research objectives, includes:RO1: Novel architecture based upon Adaptive Wavelet Band-pass Sampling (AWBS) of RF Analog-to-Information Conversion (AIC).RO2: Integration of AWBS for increasing the wideband sensing capabilities of real-time spectrum analyzers by using AICs.RO3: Propose online calibration methods and algorithms for front-end hardware non-idealities compensation.RO4: Design a hardware prototype aimed to perform real-time spectrum sensing with 1 GHz real-time bandwidth.

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    Wed, 01/02/2019 - 14:01

    This dataset is related to the paper  "A distributed Front-end Edge node assessment method by using a learning-to-rank method"

     

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    Mon, 01/07/2019 - 18:56

    Radio frequency identification (RFID) provides a simple and effective solution to the passive indoor localization. The conventional wisdom about RFID localization is utilizing reference tags. It performs well in tag or single passive target localization. However, in the passive multiple target scenario, reference tag based localization suffers from some limitations, including the array aperture, mutual coupling of reference tags, and coherent superimposition of target signals.

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    Wed, 01/23/2019 - 07:07

    The dataset contains a set of voip flows (with different codecs) captured in fixed/fixed and fixed/mobile LTE-A enviroment. 

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    Wed, 12/12/2018 - 10:05

    This dataset provides the source data for the figures and tables found in the paper "Elliptic Curve Lightweight Cryptography: a Survey."

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  • Last Updated On: 
    Thu, 11/08/2018 - 15:48

    The dataset was constructed by capturing real-time background traffic of 9 applications. The 9 applications represent different types of network behaviour in the background, for high level of network

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  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Simulation and  measurement results of  "Investigation on Bent Dielectric Resonator Antennas with Conformal Ground Plane". Configurations can be found in the paper.

     

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  • Communications
  • Last Updated On: 
    Sun, 12/30/2018 - 07:59

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