Access Control for IoT Nodes With Energy and Fidelity Constraints

Biason, Alessandro; Pielli, Chiara; Zanella, Andréa; Zorzi, Michele

doi:10.1109/twc.2018.2808520

Cited by 22 publications

(12 citation statements)

References 36 publications

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“…A proposal for energy constrained devices called Time Division Multiple Access is described in [44]. The schema is well suited for sensors with known communication patterns, such as a repeating communication schedule in which sensors periodically report data.…”

Section: Authorizationmentioning

confidence: 99%

“…Centralized solutions can be often decentralized by multiplying central elements [14-16, 21, 25, 28, 36, 42, 43], and decentralized proposals can be centralized by limiting the number of security control elements to single node [17,38,45,46,50]. Similarly, some of the research we reviewed [26,30,31,34,36,44,49,52,54,56] cannot be categorized in either category. They work equally well for either architecture without modification and can be seen as complementary extensions for complex security solutions, helping with particular issues (e.g., authentication, auditing, context-awareness).…”

Section: Distribution Versus Centralizationmentioning

confidence: 99%

“…Given these differences in capability, the adaptation of existing M2M security technologies [21,30,34,43,55] works well for IoT scenarios where a user is not required. Proposals exist for M2M authentication even with low-resource devices [20,44,45].…”

Section: User Versus Device-centrismmentioning

confidence: 99%

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Survey of Authentication and Authorization for the Internet of Things

Trnka

Černý

Stickney

2018

Security and Communication Networks

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The Internet of Things is currently getting significant interest from the scientific community. Academia and industry are both focused on moving ahead in attempts to enhance usability, maintainability, and security through standardization and development of best practices. We focus on security because of its impact as one of the most limiting factors to wider Internet of Things adoption. Numerous research areas exist in the security domain, ranging from cryptography to network security to identity management. This paper provides a survey of existing research applicable to the Internet of Things environment at the application layer in the areas of identity management, authentication, and authorization. We survey and analyze more than 200 articles, categorize them, and present current trends in the Internet of Things security domain.

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Section: Authorizationmentioning

confidence: 99%

Section: Distribution Versus Centralizationmentioning

confidence: 99%

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Survey of Authentication and Authorization for the Internet of Things

Trnka

Černý

Stickney

2018

Security and Communication Networks

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“…The classic problem of designing efficient lossy compression schemes for sources is gaining increasing interest, supported by the tremendous increase of data generated by the Internet of Things (IoT) [1], [2]. The data size can be significantly decreased by exploiting some of their structures.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the signals of interest such as image, audio, video, and IoT data are compressible [3]- [6]. The key objectives regarding the compression of sparse sources in IoT scenarios are the design of energy-efficient source encoders with low computational complexity, and their performance analysis in terms of operational distortion-rate (ODR) and operational distortion-energy (ODE) in the presence of noise [2], [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

Lossy Compression of Noisy Sparse Sources Based on Syndrome Encoding

Elzanaty

Giorgetti

Chiani

2019

IEEE Trans. Commun.

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Data originating from devices and sensors in Internet of Things scenarios can often be modeled as sparse signals. In this paper, we provide new source compression schemes for noisy sparse and non-strictly sparse sources, based on channel coding theory. Specifically, nonlinear excision filtering by means of model order selection or thresholding is first used to detect the support of the non-zero elements of sparse vectors in noise. Then, the sparse sources are quantized and compressed using syndrome based encoders. The theoretical performance of the schemes is provided, accounting for the uncertainty in the support estimation. In particular, we derive the operational distortionrate and operational distortion-energy of the encoders for noisy Bernoulli-uniform and Bernoulli-Gaussian sparse sources. It is found that the performance of the proposed encoders approaches the information-theoretic bounds for sources with low sparsity order. As a case study, the proposed encoders are used to compress signals gathered from a real wireless sensor network for environmental monitoring.

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Knowledge discovery for enabling smart Internet of Things: A survey

Misra¹,

Mukherjee²,

Roy

2018

WIREs Data Min & Knowl

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The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture. This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Machine Learning Application Areas > Internet and Web‐Based Applications Algorithmic Development > Spatial and Temporal Data Mining

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Access Control for IoT Nodes With Energy and Fidelity Constraints

Cited by 22 publications

References 36 publications

Survey of Authentication and Authorization for the Internet of Things

Survey of Authentication and Authorization for the Internet of Things

Lossy Compression of Noisy Sparse Sources Based on Syndrome Encoding

Knowledge discovery for enabling smart Internet of Things: A survey

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