Header

UZH-Logo

Maintenance Infos

Towards the mitigation of distributed denial-of-service cyberbioattacks in bacteria-based biosensing systems


López Bernal, Sergio; Perez Martins, Daniel; Huertas Celdran, Alberto (2021). Towards the mitigation of distributed denial-of-service cyberbioattacks in bacteria-based biosensing systems. Digital Signal Processing, 118:46498.

Abstract

In recent years, bacterial populations have been engineered to act as biological sensors able to improve human health by developing novel therapeutics and diagnostics. Nowadays, populations of engineered bacteria can be remotely controlled to perform some medical actions on-demand; however, it brings crucial concerns from the cybersecurity perspective. As an example, one of the first cyberbioattacks has been recently proposed to explore the feasibility of using engineered bacteria to produce a Distributed Denial-of-Service and disrupt the creation of biofilm, a natural protection of bacteria against external agents. With the goal of mitigating the impact of this cyberbioattack, this paper proposes two novel mitigation mechanisms: quorum quenching and amplification. On the one hand, quorum quenching focuses on emitting molecules to block those sent by the cyberbioattack. On the other hand, the amplification approach emits molecules to increase the percentage of those needed to create the biofilm structure. To measure the performance of both mitigation techniques in dynamic scenarios, we have implemented different configurations of the Distributed Denial-of-Service attack and evaluated the channel attenuation and the signal-to-interference-plus-noise (SINR). As a result, we have observed that both approaches reduce the impact caused by the cyberbioattack, detecting differences between them. The quorum quenching mechanism presented better results, although it did not adapt its behavior to different attack configurations, responding statically. In contrast, the amplitude mitigation technique is perfectly adapted to attack configurations with different impacts on biofilm creation.

Abstract

In recent years, bacterial populations have been engineered to act as biological sensors able to improve human health by developing novel therapeutics and diagnostics. Nowadays, populations of engineered bacteria can be remotely controlled to perform some medical actions on-demand; however, it brings crucial concerns from the cybersecurity perspective. As an example, one of the first cyberbioattacks has been recently proposed to explore the feasibility of using engineered bacteria to produce a Distributed Denial-of-Service and disrupt the creation of biofilm, a natural protection of bacteria against external agents. With the goal of mitigating the impact of this cyberbioattack, this paper proposes two novel mitigation mechanisms: quorum quenching and amplification. On the one hand, quorum quenching focuses on emitting molecules to block those sent by the cyberbioattack. On the other hand, the amplification approach emits molecules to increase the percentage of those needed to create the biofilm structure. To measure the performance of both mitigation techniques in dynamic scenarios, we have implemented different configurations of the Distributed Denial-of-Service attack and evaluated the channel attenuation and the signal-to-interference-plus-noise (SINR). As a result, we have observed that both approaches reduce the impact caused by the cyberbioattack, detecting differences between them. The quorum quenching mechanism presented better results, although it did not adapt its behavior to different attack configurations, responding statically. In contrast, the amplitude mitigation technique is perfectly adapted to attack configurations with different impacts on biofilm creation.

Statistics

Citations

Dimensions.ai Metrics
1 citation in Web of Science®
1 citation in Scopus®
Google Scholar™

Altmetrics

Downloads

15 downloads since deposited on 15 Mar 2022
7 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Signal Processing
Physical Sciences > Computer Vision and Pattern Recognition
Social Sciences & Humanities > Statistics, Probability and Uncertainty
Physical Sciences > Computational Theory and Mathematics
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Artificial Intelligence
Physical Sciences > Applied Mathematics
Scope:Discipline-based scholarship (basic research)
Language:English
Date:November 2021
Deposited On:15 Mar 2022 07:56
Last Modified:27 Apr 2024 01:36
Publisher:Elsevier
ISSN:1051-2004
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.dsp.2021.103241
Official URL:https://doi.org/10.1016/j.dsp.2021.103241
Other Identification Number:merlin-id:21884
  • Content: Published Version
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)