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June 9, 2019
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Article
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Self-Healing in Unattended Wireless Sensor Networks

Publicated to: ACM Transactions on Sensor Networks. 9 (1): 7- - 2012-11-01 9(1), DOI: 10.1145/2379799.2379806

Authors:

Di Pietro, R; Ma, D; Soriente, C; Tsudik, G
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Affiliations

Univ Calif Irvine, Dept Comp Sci - Author
Univ Michigan Dearborn, Dept Comp & Informat Sci - Author
Univ Politecn Madrid, Fac Informat - Author
Univ Roma Tre, Dipartimento Matemat - Author
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Abstract

Wireless sensor networks (WSNs) appeal to a wide range of applications that involve the monitoring of various physical phenomena. However, WSNs are subject to many threats. In particular, lack of pervasive tamper-resistant hardware results in sensors being easy targets for compromise. Having compromised a sensor, the adversary learns all the sensor secrets, allowing it to later encrypt/decrypt or authenticate messages on behalf of that sensor. This threat is particularly relevant in the novel unattended wireless sensor networks (UWSNs) scenario. UWSNs operate without constant supervision by a trusted sink. UWSN's unattended nature and increased exposure to attacks prompts the need for special techniques geared towards regaining security after being compromised. In this article, we investigate cooperative self-healing in UWSNs and propose various techniques to allow unattended sensors to recover security after compromise. Our techniques provide seamless healing rates even against a very agile and powerful adversary. The effectiveness and viability of our proposed techniques are assessed by thorough analysis and supported by simulation results. Finally, we introduce some real-world issues affecting UWSN deployment and provide some solutions for them as well as a few open problems calling for further investigation.
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Keywords

Mobile adversaryProactive rsaPublic-key encryptionSecuritySelf-healingSoftware-based attestationWireless sensor networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal ACM Transactions on Sensor Networks due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Networks and Communications. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 7
  • Scopus: 10
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 34.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 34 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/16847/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 431
  • Downloads: 553
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Italy; United States of America.

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Awards linked to the item

R. Di Pietro was partially supported by ACC1O, the Catalan Business Competitiveness Support Agency. He is also with Barcelona Digital Technology Center. C. Soriente was partially supported by the Madrid Regional Council - CAM under project CLOUDS (S2009TIC-1692), the Spanish Research Agency - MICINN under project CloudStorm (TIN2010-19077), and the European Commission under projects MASSIF (FP7-257475).
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