Providing Support to IoT Devices Deployed in Disconnected Rural Environment

Laso, Sergio; Flores-Martín, Daniel; Herrera, José; Canal, Carlos; Murillo, Juan Manuel; Berrocal, Javier

doi:10.1007/978-3-030-41494-8_14

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Moreover, communication in MANETs is usually organized in a decentralized manner without a connection to any central authority or the Internet [ 6 , 7 ]. However, even IoT scenarios have to account for Internet disconnects and short period of ad hoc organization due to missing coverage or temporary disconnects, e.g., [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Rechained: Sybil-Resistant Distributed Identities for the Internet of Things and Mobile Ad Hoc Networks

Bochem

Leiding

2021

Sensors

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Today, increasing Internet of Things devices are deployed, and the field of applications for decentralized, self-organizing networks keeps growing. The growth also makes these systems more attractive to attackers. Sybil attacks are a common issue, especially in decentralized networks and networks that are deployed in scenarios with irregular or unreliable Internet connectivity. The lack of a central authority that can be contacted at any time allows attackers to introduce arbitrary amounts of nodes into the network and manipulate its behavior according to the attacker’s goals, by posing as a majority participant. Depending on the structure of the network, employing Sybil node detection schemes may be difficult, and low powered Internet of Things devices are usually unable to perform impactful amounts of work for proof-of-work based schemes. In this paper, we present Rechained, a scheme that monetarily disincentivizes the creation of Sybil identities for networks that can operate with intermittent or no Internet connectivity. We introduce a new revocation mechanism for identities, tie them into the concepts of self-sovereign identities, and decentralized identifiers. Case-studies are used to discuss upper- and lower-bounds for the costs of Sybil identities and, therefore, the provided security level. Furthermore, we formalize the protocol using Colored Petri Nets to analyze its correctness and suitability. Proof-of-concept implementations are used to evaluate the performance of our scheme on low powered hardware as it might be found in Internet of Things applications.

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Section: Introductionmentioning

confidence: 99%

Rechained: Sybil-Resistant Distributed Identities for the Internet of Things and Mobile Ad Hoc Networks

Bochem

Leiding

2021

Sensors

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“…Moreover, communication in MANETs is usually organized in a decentralized manner without a connection to any central authority or the Internet [26,27]. However, even IoT scenarios have to account for Internet disconnects and short period of ad hoc organization due to missing coverage or temporary disconnects, e.g., [52,53].…”

Section: Introductionmentioning

confidence: 99%

Secure Localization in Wireless Sensor Networks

Bochem¹

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With the growing popularity of the Internet of Things, Wireless Sensor Networks also only grow more and more common in various different forms. However, sensor data is often only useful in connection with information about where it comes from. For this reason, localization schemes that allow sensor nodes to localize their positions are a very active field of research. As schemes are refined, localization results grow increasingly more accurate, but it also becomes more and more important to make localization approaches more robust against malfunctioning or malicious nodes in the network, as well as network scale attacks. This thesis presents two approaches, Unchained and Rechained, to monetarily disincentivize the creation of Sybil identities in decentralized networks, mitigating a common class of network level attacks against localization schemes. Furthermore, Robustness Enhanced Sensor Assisted Monte Carlo Localization (RESA-MCL) is introduced, evaluated and compared against previous comparable schemes. Evaluation is performed in simulations without attacks and under three different attack models that are introduced for the application field of Wireless Sensor Networks. RESA-MCL outperforms other approaches both without and with attacks and performs well in both low and high anchor density scenarios (e.g. a localization error of 0.5 is reached at an anchor density of 0.33), reaching a localization error up to 48 % lower than that of a recent comparable approach at a similar anchor density. It is shown to be much more robust than other approaches under attacks while computational complexity is barely increased.

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Providing Support to IoT Devices Deployed in Disconnected Rural Environment

Cited by 2 publications

References 9 publications

Rechained: Sybil-Resistant Distributed Identities for the Internet of Things and Mobile Ad Hoc Networks

Rechained: Sybil-Resistant Distributed Identities for the Internet of Things and Mobile Ad Hoc Networks

Secure Localization in Wireless Sensor Networks

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