Authors:
Dilara Acarali
;
Muttukrishnan Rajarajan
and
Nikos Komninos
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London and U.K.
Keyword(s):
Cyber-security, Botnets, Translational Research, Implementation Science, Botnet Propagation.
Related
Ontology
Subjects/Areas/Topics:
Data and Application Security and Privacy
;
Information and Systems Security
;
Information Assurance
;
Management of Computing Security
;
Network Security
;
Security Deployment
;
Security in Information Systems
;
Security Management
;
Wireless Network Security
Abstract:
Botnet research frequently draws on concepts from other fields. An example is the use of epidemiological models when studying botnet propagation, which facilitate an understanding of bot spread dynamics and the exploration of behavioural theory. Whilst the literature is rich with these models, it is lacking in work aimed at connecting the insights of theoretical research with day-to-day practice. To address this, we look at botnets through the lens of implementation science, a discipline from the field of translational research in health care, which is designed to evaluate the implementation process. In this paper, we explore key concepts of implementation science, and propose a framework-based approach to improve the provision of security measures to network entities. We demonstrate the approach using existing propagation models, and discuss the role of implementation science in malware defence.