Context-aware deep learning-driven framework for mitigation of security risks in BYOD-enabled environments

Daniel Petrov, Taieb Znati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The proliferation of smart phones and ubiquitous Internet access enable the emergence of BYOD (Bring Your Own Device) as an effective policy to increase efficiency and productivity in the workplace. The adoption of BYOD, however, gives rise to a number of security threats, including sensitive information infiltration and exfiltration, DoS attacks and privacy violation. This work proposes a framework to address precisely this issue. The main focus of the paper is on exploring the viability of BYOD in supporting collaboration among team members, in a heterogeneous mobile computing environments. The basic tenet of this work is to leverage artificial neural networks (ANN) and decision tree (DT) machine learning (ML) techniques to identify any attempts for access to sensitive information by nonlegitimate users and to facilitate the framework to baffle their access, in order to protect the data. The goal becomes even more challenging, incorporating the demands for low latency and high accuracy of the framework. The main contributions of the include the formulation of the BYOD unauthorized access control problem, a framework that uses ANN and DT ML techniques to detect anomalous behaviors and to identify unauthorized access to resources on BYOD devices. The proposed security techniques are implemented and evaluated, using a real dataset.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-175
Number of pages10
ISBN (Electronic)9781538695029
DOIs
Publication statusPublished - Nov 15 2018
Externally publishedYes
Event4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018 - Philadelphia, United States
Duration: Oct 18 2018Oct 20 2018

Publication series

NameProceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018

Conference

Conference4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
Country/TerritoryUnited States
CityPhiladelphia
Period10/18/1810/20/18

Keywords

  • Access Control
  • BOYD
  • Information Security
  • Machine Learning
  • Mobile Devices
  • Neural Networks.
  • Security

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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