Conxsense: automated context classification for context-aware access control
We present ConXsense, the first framework for context-aware access control on mobile
devices based on context classification. Previous context-aware access control systems …
devices based on context classification. Previous context-aware access control systems …
Comparing and fusing different sensor modalities for relay attack resistance in zero-interaction authentication
HTT Truong, X Gao, B Shrestha… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
Zero-Interaction Authentication (ZIA) refers to approaches that authenticate a user to a
verifier (terminal) without any user interaction. Currently deployed ZIA solutions are …
verifier (terminal) without any user interaction. Currently deployed ZIA solutions are …
Recurrent neural networks model for WiFi-based indoor positioning system
Y Lukito, AR Chrismanto - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
This research focus on the implementation of recurrent neural networks (RNN) model for
indoor positioning system (IPS). Unlike global positioning system (GPS), IPS is used in …
indoor positioning system (IPS). Unlike global positioning system (GPS), IPS is used in …
The influence of temporal and spatial features on the performance of next-place prediction algorithms
Several algorithms to predict the next place visited by a user have been proposed in the
literature. The accuracy of these algorithms--measured as the ratio of the number of correct …
literature. The accuracy of these algorithms--measured as the ratio of the number of correct …
Perbandingan Metode-Metode Klasifikasi untuk Indoor Positioning System
Y Lukito, AR Chrismanto - Jurnal Teknik Informatika dan …, 2015 - journal.maranatha.edu
Abstract Indoor Positioning System can provide position and navigation guidances inside a
building. Â This paper discusses about systematic comparison between K-Nearest Neigbors …
building. Â This paper discusses about systematic comparison between K-Nearest Neigbors …
Clustering Wi-Fi fingerprints for indoor–outdoor detection
This paper presents a method for continuous indoor–outdoor environment detection on
mobile devices based solely on Wi-Fi fingerprints. Detection of indoor–outdoor switching is …
mobile devices based solely on Wi-Fi fingerprints. Detection of indoor–outdoor switching is …
Using contextual co-presence to strengthen Zero-Interaction Authentication: Design, integration and usability
Abstract Zero-Interaction Authentication (ZIA) refers to approaches that authenticate a user
to a verifier (terminal) without any user interaction. Currently deployed ZIA solutions are …
to a verifier (terminal) without any user interaction. Currently deployed ZIA solutions are …
Selecting individual and population models for predicting human mobility
A large plethora of models to predict human mobility exists in the literature. The problem of
how to select the most appropriate model to solve a specific mobility prediction task has …
how to select the most appropriate model to solve a specific mobility prediction task has …
[图书][B] Autonomous Indoor Localization Using Unsupervised Wi-Fi Fingerprinting
Y Xu - 2016 - books.google.com
Indoor localization is a research domain that aims to locate mobile devices or users in the
indoor environments. More and more research has investigated to acquire the location …
indoor environments. More and more research has investigated to acquire the location …
Dccla: Automatic indoor localization using unsupervised wi-fi fingerprinting
People spend most of their time in a few significant places and often indoors in a small
number of select rooms and locations. Indoor localization in terms of a user's current place …
number of select rooms and locations. Indoor localization in terms of a user's current place …