System Design Considerations for Risk Perception

Authors: M'manga, A., Faily, S., McAlaney, J. and Williams, C.

http://eprints.bournemouth.ac.uk/29271/

Start date: 10 May 2017

This data was imported from DBLP:

Authors: M'manga, A., Faily, S., McAlaney, J. and Williams, C.

Editors: Assar, S., Pastor, O. and Mouratidis, H.

http://eprints.bournemouth.ac.uk/29271/

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7951529

Journal: RCIS

Pages: 322-327

Publisher: IEEE

ISBN: 978-1-5090-5476-3

This data was imported from Scopus:

Authors: M'Manga, A., Faily, S., McAlaney, J. and Williams, C.

http://eprints.bournemouth.ac.uk/29271/

Journal: Proceedings - International Conference on Research Challenges in Information Science

Pages: 322-327

eISSN: 2151-1357

ISBN: 9781509054763

ISSN: 2151-1349

DOI: 10.1109/RCIS.2017.7956554

© 2017 IEEE. The perception of risk is a driver for security analysts' decision making. However, security analysts may have conflicting views of a risk based on personal, system and environmental factors. This difference in perception and opinion, may impact effective decision making. In this paper, we propose a model that highlights areas contributing to the perception of risk in a socio-technical environment and their implication to system design. We validate the model through the use of a hypothetical scenario, which is grounded in both the literature and empirical data.

This data was imported from Web of Science (Lite):

Authors: M'manga, A., Faily, S., McAlaney, J. and Williams, C.

http://eprints.bournemouth.ac.uk/29271/

Journal: 2017 11TH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS)

Pages: 322-327

ISSN: 2151-1357

The data on this page was last updated at 04:52 on November 15, 2018.