Next Article in Journal
Using Malone’s Theoretical Model on Gamification for Designing Educational Rubrics
Previous Article in Journal / Special Issue
What Is This Sensor and Does This App Need Access to It?
Article Menu

Export Article

Open AccessArticle
Informatics 2019, 6(1), 8; https://doi.org/10.3390/informatics6010008

Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks

School of Computing Science and Digital Media, Robert Gordon University, Aberdeen AB10 7GJ, UK
*
Author to whom correspondence should be addressed.
Received: 30 November 2018 / Revised: 31 January 2019 / Accepted: 11 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue Human Factors in Security and Privacy in IoT (HFSP-IoT))
Full-Text   |   PDF [1459 KB, uploaded 18 February 2019]   |  

Abstract

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Internet, such as those seen by the Mirai botnet. This paper presents a cross-sectional study of how users value and perceive security and privacy in smart devices found within the IoT. It analyzes user requirements from IoT devices, and the importance placed upon security and privacy. An experimental setup was used to assess user ability to detect threats, in the context of technical knowledge and experience. It clearly demonstrated that without any clear signs when an IoT device was infected, it was very difficult for consumers to detect and be situationally aware of threats exploiting home networks. It also demonstrated that without adequate presentation of data to users, there is no clear correlation between level of technical knowledge and ability to detect infected devices. View Full-Text
Keywords: Internet of Things; situational awareness; threat detection; IoT Security; botnet; DDoS Internet of Things; situational awareness; threat detection; IoT Security; botnet; DDoS
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

McDermott, C.D.; Isaacs, J.P.; Petrovski, A.V. Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks. Informatics 2019, 6, 8.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top