Securing the Internet of Things (IoT): A Security Taxonomy for IoT

Syed Rizvi, Andrew Kurtz, Joseph Pfeffer, Mohammad Rizvi

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

19 Scopus citations

Abstract

In Internet of Things (IoT), there is a vast number of connected devices that exist. These devices are collecting and transmitting great volumes of data from device to device, device to enterprise systems, and occasionally from device to humans. Due to the billions of connected devices, there is a great risk of identity and data theft, device manipulation, data falsification, server/network manipulation, and subsequent impact to application platforms. While the number of these interconnected devices continues to grow every day, so does the number of security threats and vulnerabilities posed to these devices. Security is one of the most paramount technological research problems that exist today for IoT. Security has many facets - security built within the device, security of data transmission, and data storage within the systems and its applications. There is an extensive amount of literature that exists on the subject with countless problems as well as proposed solutions; however, most of the existing work does not provide a holistic view of security and data privacy issues within the IoT. The primary goal of this research work is to advance the current state of the art in IoT research by identifying (a) the critical domains where IoT is heavily used, (b) the security requirements and challenges that IoT is currently facing, and (c) the existing security solutions that have been proposed or implemented with their limitations.

Original languageEnglish (US)
Title of host publicationProceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Print)9781538643877
DOIs
StatePublished - Sep 5 2018
Event17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 - New York, United States
Duration: Jul 31 2018Aug 3 2018

Publication series

NameProceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018

Other

Other17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
CountryUnited States
CityNew York
Period7/31/188/3/18

All Science Journal Classification (ASJC) codes

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

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