A DTLS-based security architecture for the Internet of Things

Santos, Giederson Lessa dos; Guimaraes, Vinicius Tavares; Rodrigues, Guilherme da Cunha; Granville, Lisandro Zambenedetti; Tarouco, Liane Margarida Rockenbach

doi:10.1109/iscc.2015.7405613

Cited by 28 publications

(6 citation statements)

References 19 publications

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“…This DTLS provides communications privacy for datagram protocols based on the stream-oriented Transport Layer Security (TLS) [213]. This protocol helps to enhance the security of others' higher layers protocols like CoAP [214,215]. Finally, iBeacon is the fifth on this list with nine documents.…”

Section: Communication Protocols According To Open Systems Interconnementioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Communication Protocols According To Open Systems Interconnementioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…There are a few works on offloading the entire handshaking process of datagram transport layer security (DTLS), which is limited to messages of a 1500-byte size [ 27 ]. For instance, the authors in [ 9 ] design an architecture that enables resource-constrained devices to establish end-to-end secure communication using DTLS. A dedicated network node is proposed to perform handshake offloading on behalf of an IoT station.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Managing Device Association and Offloading the Transport Layer’s Security Overhead of WiFi Device to Access Points

Nofal

Tran

Dezfouli

et al. 2021

Sensors

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Considering the resource constraints of Internet of Things (IoT) stations, establishing secure communication between stations and remote servers imposes a significant overhead on these stations in terms of energy cost and processing load. This overhead, in particular, is considerable in networks providing high communication rates and frequent data exchange, such as those relying on the IEEE 802.11 (WiFi) standard. This paper proposes a framework for offloading the processing overhead of secure communication protocols to WiFi access points (APs) in deployments where multiple APs exist. Within this framework, the main problem is finding the AP with sufficient computation and communication capacities to ensure secure and efficient transmissions for the stations associated with that AP. Based on the data-driven profiles obtained from empirical measurements, the proposed framework offloads most heavy security computations from the stations to the APs. We model the association problem as an optimization process with a multi-objective function. The goal is to achieve maximum network throughput via the minimum number of APs while satisfying the security requirements and the APs’ computation and communication capacities. The optimization problem is solved using genetic algorithms (GAs) with constraints extracted from a physical testbed. Experimental results demonstrate the practicality and feasibility of our comprehensive framework in terms of task and energy efficiency as well as security.

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“…The literature contains several works that study the performance of TLS and DTLS in the context of the IoT. They majorly focus the cryptographic overhead of the protocols and propose alternative schemes to offload the resource-demanding computations, in particular asymmetric cryptography [ 32 , 33 , 34 , 35 ].…”

Section: Related Workmentioning

confidence: 99%

Performance of the Transport Layer Security Handshake Over 6TiSCH

Claeys

Vučinić

Watteyne

et al. 2021

Sensors

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This paper presents a thorough comparison of the Transport Layer Security (TLS) v1.2 and Datagram TLS (DTLS) v1.2 handshake in 6TiSCH networks. TLS and DTLS play a crucial role in protecting daily Internet traffic, while 6TiSCH is a major low-power link layer technology for the IoT. In recent years, DTLS has been the de-facto security protocol to protect IoT application traffic, mainly because it runs over lightweight, unreliable transport protocols, i.e., UDP. However, unlike the DTLS record layer, the handshake requires reliable message delivery. It, therefore, incorporates sequence numbers, a retransmission timer, and a fragmentation algorithm. Our goal is to study how well these mechanisms perform, in the constrained setting of 6TiSCH, compared to TCP’s reliability algorithms, relied upon by TLS. We port the mbedTLS library to OpenWSN, a 6TiSCH reference implementation, and deploy the code on the state-of-the-art OpenMote platform. We show that, when the peers use an ideal channel, the DTLS handshake uses up to 800 less and completes 0.6 s faster. Nonetheless, using an unreliable communication link, the DTLS handshake duration suffers a performance penalty of roughly 45%, while TLS’ handshake duration degrades by merely 15%. Similarly, the number of exchanged bytes doubles for DTLS while for TLS the increase is limited to 15%. The results indicate that IoT product developers should account for network characteristics when selecting a security protocol. Neglecting to do so can negatively impact the battery lifetime of the entire constrained network.

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A DTLS-based security architecture for the Internet of Things

Cited by 28 publications

References 19 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

A Framework for Managing Device Association and Offloading the Transport Layer’s Security Overhead of WiFi Device to Access Points

Performance of the Transport Layer Security Handshake Over 6TiSCH

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