Journal article icon

Journal article

Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge

Abstract:

We explore the potential and practical challenges in the use of artificial intelligence (AI) in cyber risk analytics, for improving organisational resilience and understanding cyber risk. The research is focused on identifying the role of AI in connected devices such as Internet of Things (IoT) devices. Through literature review, we identify wide ranging and creative methodologies for cyber analytics and explore the risks of deliberately influencing or disrupting behaviours to socio-technical...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1007/s42452-020-03559-4

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Role:
Author
ORCID:
0000-0001-5629-6857
Publisher:
Springer Publisher's website
Journal:
SN Applied Sciences Journal website
Volume:
2
Issue:
11
Article number:
1773
Publication date:
2020-10-06
Acceptance date:
2020-09-21
DOI:
EISSN:
2523-3971
ISSN:
2523-3963
Language:
English
Keywords:
Pubs id:
1136596
Local pid:
pubs:1136596
Deposit date:
2020-10-12

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP