Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks
Journal Title: Informatics - Year 2019, Vol 6, Issue 1
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.
Authors and Affiliations
Christopher D. McDermott, John P. Isaacs and Andrei V. Petrovski
Keywords
Related Articles
- EP ID EP44168
- DOI https://doi.org/10.3390/informatics6010008
- Views 263
- Downloads 0
Using Malone’s Theoretical Model on Gamification for Designing Educational Rubrics
How could a structured proposal for an evaluation rubric benefit from assessing and including the organizational variables used when one of the first definitions of gamification related to game theory was established b...
Developing a Model of Distributed Sensemaking: A Case Study of Military Analysis
In this paper, we examine the role of representational artefacts in sensemaking. Embodied within representational media, such as maps, charts and lists, are a number of affordances, which can furnish sensemakers with t...
Molecular Imaging of Bacterial Infections in vivo: The Discrimination between Infection and Inflammation
Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinic...
Visual Exploration of Large Multidimensional Data Using Parallel Coordinates on Big Data Infrastructure
The increase of data collection in various domains calls for an adaptation of methods of visualization to tackle magnitudes exceeding the number of available pixels on screens and challenging interactivity. This growth...
Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty
Visualizing geo-spatial data embedded into a three-dimensional terrain is challenging. The problem becomes even more complex when uncertainty information needs to be presented as well. This paper addresses the question o...