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 We developed a packet sniffer application to capture IAT of packets.

  • Communications
  • Last Updated On: 
    Sat, 02/02/2019 - 22:53

    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

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

    None

  • Communications
  • Last Updated On: 
    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.

  • Communications
  • Last Updated On: 
    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"

     

    Normal
    0

    false
    false
    false

    EN-US
    JA
    AR-SA

     

  • Communications
  • Last Updated On: 
    Mon, 01/07/2019 - 18:56

    This dataset includes information on measured points used to obtain the exposed results in article named "A linear parametric propagation model applied to DTV frequencies in typical Amazon cities of Brazil"

  • Communications
  • Last Updated On: 
    Sat, 12/22/2018 - 08:39

    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.

  • Communications
  • Last Updated On: 
    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. 

  • Communications
  • Last Updated On: 
    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."

  • Communications
  • 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

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Ahmed Saeed, Mario Kolberg

    Pages