Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow
Başlık:
Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow
Yazar:
Gunn, Dylan J., author.
ISBN:
9780355982671
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (54 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Kaushik Roy Committee members: Kelvin Bryant; Albert Esterline; Jung Hee Kim; Jinsheng Xu.
Özet:
Mobile devices are synonymous with the daily activities of our lives just as much as the cloud is associated with data. In this modern world, mobile devices have been paired with the cloud environment to scale the voluminous amount of generated data. The implementation comes at the cost of privacy as proprietary data can be stolen in transit to the cloud, or a victim's mobile device can be seized along with all of their synced data from the cloud. The attacker can gain access to the phone through shoulder surfing, or even spoofing attacks. Our approach is to mitigate this issue by proposing an active cloud authentication framework using behavioral biometrics. Given the amount of data captured by the mobile device from user activity, it can be a computationally intensive process for the mobile device to handle with such limited resources. To solve this, we simulated a post transmission process of data to the cloud so that we could implement the authentication process within the cloud. We evaluated our data using three existing classifiers: Random Forest (RF), the Support Vector Machine (SVM), and the Long Short-Term Memory-Recurrent Neural Network (LSTM-RNN) algorithms. In doing so, we have applied the Distributed TensorFlow framework to partition the large dataset, perform calculations in parallel, converge the results, make the predictions, and display the results. This is implemented after our down-selection of which classifier had the most promising results in our proof of concept before adding the classifier of choice to the Distributed TensorFlow framework.
Notlar:
School code: 1544
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
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