Ontology-based reasoning for context-aware radios: insights and findings from prototype development

Poston, Jeffrey D.; Horne, W. D.; Taylor, M.; Zhu, Fengchao

doi:10.1109/dyspan.2005.1542685

Cited by 13 publications

(4 citation statements)

References 2 publications

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“…As IoT expands into diverse environments, the development and refinement of dynamic access control mechanisms will be crucial. Semantic Web facilitates context-aware reasoning [27]. As a result, real-time contextual information can be incorporated into access control decisions for IoT devices in dynamic environments.…”

Section: E Dynamic Environmentmentioning

confidence: 99%

Semantic-Driven Access Control for IoT Systems

Türkmen,

Can

2023

IJMSIT

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Internet of Things (IoT) is growing and affecting various industries significantly. The amount of sensitive data collected and processed by these devices has raised concerns. Ensuring access control becomes even more crucial in IoT systems due, to their networked devices that operate independently. Because IoT environments are diverse and constantly changing traditional access control methods often fall short. In this context incorporating Semantic Web technologies emerges as an approach to enhance the adaptability and intelligence of access control systems. The implementation of comprehensive access control measures is essential in environments where there are a lot of interconnected IoT devices. Access control policies that are traditionally built for established identities and roles have difficulties in accommodating the dynamic characteristics of the IoT. It is evident that the establishment of predetermined policies is not feasible, as novel circumstances would invariably necessitate customized policy approaches. In light of the mentioned challenges the main focus of this paper is to provide a comprehensive understanding of access control principles specifically tailored to the IoT domain. The goal of this study is to identify the challenges associated with access control in the IoT. Furthermore, we aim to outline a roadmap for research, on developing access control mechanisms that incorporate semantic awareness within the IoT domain. The study explores semanticbased access control solutions for IoT based on this point. The Semantic Web-based access control emphasizes the use of ontologies and semantic reasoning to generate contextually aware and adaptable access control policies. In this study, we present how Semantic Web influence access control decisions in various settings where IoT devices operate. Furthermore, the paper discusses IoT-specific access control challenges. Besides, the importance of using Semantic Web technologies to enhance access control is emphasized. This paper acts as a reference aiming to guide future efforts in developing a policy management system that can adapt more effectively to the ever-changing IoT landscape.

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Section: E Dynamic Environmentmentioning

confidence: 99%

Semantic-Driven Access Control for IoT Systems

Türkmen,

Can

2023

IJMSIT

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“…are provided in their system, and the Prolog-based reasoning engine also limits the completeness of the reasoning process. The MITRE Corporation [19] also designed an ontology-based reasoning architecture for context-aware radios. However, no transmission request evaluation process is discussed in their paper and the computational overhead of ontology-based reasoning is not considered.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based spectrum access policies for policy-based cognitive radios

Park

2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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To maximize their efficacy, cognitive radios (CRs) need to be able to cope with the constantly changing spectrum environment, evolving spectrum access policies, and a diverse array of network application requirements. Policy-based cognitive radios address these challenges by decoupling the spectrum access policies from device-specific implementations and optimizations. These radios can invoke situation-appropriate, adaptive actions based on policy specifications and the current spectrum environment. A policy-based CR has a reasoning engine called a policy reasoner. The primary task carried out by the policy reasoner is evaluating the transmission requests with respect to the spectrum policies. In this paper, we describe the design of a policy reasoner that processes ontology-based spectrum policies. The main advantage of using ontology-based policies is that the policy reasoner can understand and process any spectrum policies authored by any organization by relying on the spectrum ontologies. In our implementation, the spectrum ontology defines the various dynamic spectrum access (DSA) concepts, models the domain of DSA networks in a machine-understandable manner, and uses SWRL (Semantic Web Rule Language) rules to represent spectrum policies. Unfortunately, ontological reasoning needed to process ontology-based spectrum policies incurs greater computation overhead compared to non-ontological reasoning. This drawback can be a critical one as it can impede a CR from meeting its real-time performance requirements. We have carried out a number of experiments, using our implementation, to evaluate whether a radio controlled by ontology-based policies can meet its real-time performance requirements. Based on our experimental results, we propose a set of guidelines for the design of ontology-based spectrum access policies.

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“…(When sensors observe waveforms rather than only power, one may also consider signal parameters to be a dimension of the spectral hole [4].) Spectral usage will vary across the range of wireless transmission frequencies, across the spatial region of interest, and possibly across time.…”

Section: Introductionmentioning

confidence: 99%

Global Optimization for Multiple Transmitter Localization

2006

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We propose a global optimization approach to locating multiple transmitters within a geographic area. A set of sensor nodes are assumed to be present in the region and to measure total power received at their respective locations. These measurements are communicated to a processing node, which uses particle swarm optimization to find the transmitter locations that minimize the difference between the true received power and the estimated power based on the chosen propagation model. Clustering is used to generate initial estimates of the transmitter locations, thereby increasing the likelihood that the particle-based optimizer reaches the global minimum. Simulation results show that global optimization is an effective method for multiple transmitter localization and that generating "smart" initial conditions via clustering can yield an average performance improvement of over 25% compared to random initial conditions.

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Ontology-based reasoning for context-aware radios: insights and findings from prototype development

Cited by 13 publications

References 2 publications

Semantic-Driven Access Control for IoT Systems

Semantic-Driven Access Control for IoT Systems

Ontology-based spectrum access policies for policy-based cognitive radios

Global Optimization for Multiple Transmitter Localization

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