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Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks
Joint Authors
Rajarajan, Muttukrishnan
Acarali, Dilara
Komninos, Nikos
Zarpelão, B. B.
Source
Security and Communication Networks
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
The propagation approach of a botnet largely dictates its formation, establishing a foundation of bots for future exploitation.
The chosen propagation method determines the attack surface and, consequently, the degree of network penetration, as well as the overall size and the eventual attack potency.
It is therefore essential to understand propagation behaviours and influential factors in order to better secure vulnerable systems.
Whilst botnet propagation is generally well studied, newer technologies like IoT have unique characteristics which are yet to be thoroughly explored.
In this paper, we apply the principles of epidemic modelling to IoT networks consisting of wireless sensor nodes.
We build IoT-SIS, a novel propagation model which considers the impact of IoT-specific characteristics like limited processing power, energy restrictions, and node density on the formation of a botnet.
Focusing on worm-based propagation, this model is used to explore the dynamics of spread using numerical simulations and the Monte Carlo method to discuss the real-life implications of our findings.
American Psychological Association (APA)
Acarali, Dilara& Rajarajan, Muttukrishnan& Komninos, Nikos& Zarpelão, B. B.. 2019. Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1210396
Modern Language Association (MLA)
Acarali, Dilara…[et al.]. Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1210396
American Medical Association (AMA)
Acarali, Dilara& Rajarajan, Muttukrishnan& Komninos, Nikos& Zarpelão, B. B.. Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1210396
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210396