Developing an intelligent filtering technique for bring your own device network access control

Musa Abubakar Muhammad, Aladdin Ayesh, Pooneh Bagheri Zadeh

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

6 Citations (Scopus)

Abstract

With the rapid increase in smartphones and tablets, Bring Your Own Devices (BYOD) has simplified computing by introducing the use of personally owned devices. These devices can be utilised in accessing business enterprise contents and networks. The effectiveness of BYOD offers several business benefits like employee job satisfaction, increased job efficiency and ?exibility. However, allowing employees to bring their own devices could lead to a plethora of security issues; like data the unauthorised access and data leakage. this paper investigates the current security approaches and how organisations can leverage on these techniques regarding policies, risks and existing security techniques to mitigate or halt the security challenges. This research aimed to fill up the access control gap in the BYOD environment by developing an Intelligent Filtering Technique (IFT) using Artificial Intelligence (AI) Technique. Based on the behavioural patterns of device packets Inter-Arrival-Time (IAT) features through network traffic flow packet headers (Such as Transmission Control Protocol (TCP), User Datagram Protocol (UDP) and Internet Control Messaging Protocol (ICMP)).

Original languageEnglish
Title of host publicationProceedings of the International Conference on Future Networks and Distributed Systems, ICFNDS 2017
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Electronic)9781450348447
DOIs
Publication statusPublished - 19 Jul 2017
Externally publishedYes
Event2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017 - Cambridge, United Kingdom
Duration: 19 Jul 201720 Jul 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130522

Conference

Conference2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017
Country/TerritoryUnited Kingdom
CityCambridge
Period19/07/1720/07/17

Bibliographical note

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Anomaly detection
  • Behaviour profiling
  • Bring your own device
  • BYOD frameworks
  • BYOD security issues
  • Data mining
  • Intelligent filtering
  • Machine learning
  • Network access control

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