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Security Vulnerabilities and Countermeasures for Target Localization in Bio-NanoThings Communication Networks
Department of Mathematics, University of Padua, Padua, Italy. (Machine Perception & Interaction)ORCID iD: 0000-0001-9293-7711
Department of Electronic and Communication EngineeringNano Communication Centre, Tampere University of Technology, Tampere, Finland.
Department of Mathematics, University of Padua, Padua, Italy.
2016 (English)In: IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, E-ISSN 1556-6021, Vol. 11, no 4, 665-676 p.Article in journal (Refereed) Published
Abstract [en]

The emergence of molecular communication has provided an avenue for developing biological nanonetworks. Synthetic biology is a platform that enables reprogramming cells, which we refer to as Bio-NanoThings, that can be assembled to create nanonetworks. In this paper, we focus on specific Bio-NanoThings, i.e, bacteria, where engineering their ability to emit or sense molecules can result in functionalities, such as cooperative target localization. Although this opens opportunities, e.g., for novel healthcare applications of the future, this can also lead to new problems, such as a new form of bioterrorism. In this paper, we investigate the disruptions that malicious Bio-NanoThings (M-BNTs) can create for molecular nanonetworks. In particular, we introduce two types of attacks: blackhole and sentry attacks. In blackhole attack M-BNTs emit attractant chemicals to draw-in the legitimate Bio-NanoThings (L-BNTs) from searching for their target, while in the sentry attack, the M-BNTs emit repellents to disperse the L-BNTs from reaching their target. We also present a countermeasure that L-BNTs can take to be resilient to the attacks, where we consider two forms of decision processes that includes Bayes' rule as well as a simple threshold approach. We run a thorough set of simulations to assess the effectiveness of the proposed attacks as well as the proposed countermeasure. Our results show that the attacks can significantly hinder the regular behavior of Bio-NanoThings, while the countermeasures are effective for protecting against such attacks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 11, no 4, 665-676 p.
Keyword [en]
Molecular communication; Internet of Nano Things; security; bioterrorism
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-55219DOI: 10.1109/TIFS.2015.2505632ISI: 000370734700001Scopus ID: 2-s2.0-84959245508OAI: oai:DiVA.org:oru-55219DiVA: diva2:1070766
Note

Funding Agencies:

Academy of Finland FiDiPro (Finnish Distinguished Professor) program for the Project "Nanocommunication Networks"

Finnish Academy Research Fellow program 284531

TENACE PRIN Project - Italian MIUR 20103P34XC

Project "Tackling Mobile Malware with Innovative Machine Learning Techniques" - University of Padua

Marie Curie Fellowship through the European Commission PCIG11-GA-2012-321980

Available from: 2017-02-02 Created: 2017-02-02 Last updated: 2017-02-02Bibliographically approved

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