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repos: 16.0 gists: 0.0

Name: Advanced Wireless and Security Lab

Type: Organization

Bio: ADWISE laboratory at Florida International University - Department of Electrical and Computer Engineering.

Location: United States of America

Advanced Wireless and Security Lab's Projects

explorecams-scraper icon explorecams-scraper

The purpose of this project is to utilize a physical characteristic of images (i.e., Photo-Response Non-Uniformity or PRNU) to aid in Source Camera Identification (SCI).

homomorphic_encryption icon homomorphic_encryption

Contains Packages for ElGamal, Paillier, Goldweiser-Micali and DGK Homomorphic Encryption System. Also implements secure multiplication, division and comparison.

level-site-ppdt icon level-site-ppdt

Implementation of the PPDT in the paper "Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees"

lorawan icon lorawan

An ns-3 module for simulation of LoRaWAN networks using class-c end device. This module is modified based on

mpc-mgmt-cmdl icon mpc-mgmt-cmdl

MPC management framework automating a secure network setup among participants of multiparty computation in the outsourced setting.

pea-rto icon pea-rto

This repository is the ns-3 source codes for the paper entitled "Path error-aware RTO design for smart meter data traffic in IEEE 802.11 s-based AMI networks", published in the SmartGridComm 2015

routingmetricsieee802-11s icon routingmetricsieee802-11s

Mesh Wireless Standard IEEE 802.11s model for NS-3 including novel routing metrics described in the ELSEVIER Internet of Things journal article "Customized novel routing metrics for wireless mesh-based swarm-of-drones applications". This implementation also includes the default airtime routing metrics as well as etx and hopcount.

secure_indoor_localization icon secure_indoor_localization

This Repository contained the code for an Android Phone to use Indoor Localization using RSS signals of AP's. This localization scheme is completely secure as it uses homorphic encryption

vsi_ensemble_cnn icon vsi_ensemble_cnn

This repository contains the source code for ensemble learning CNN video Source Identification. VISION dataset is required to run the experiment without any changes in code.

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