Design and Performance Evaluation of Content-Oriented Communication System for IoT Network: A Case Study of Named Node Networking for Real-Time Video Streaming System

Qi, Xin; Su, Yi‐Cheng; Yu, Keping; Li, Jingsong; Hua, Qiaozhi; Zheng, Wen; Lopez, Jairo E.; Sato, Toru

doi:10.1109/access.2019.2925885

Cited by 17 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the era of big data, the security of information content and storage has received much attention [26], [27], as one of the important means to solve cloud security in the field of cloud computing, there are many research achievements in cloud access control, mainly includes three aspects. First, in terms of the access control model of cloud computing, including task-based, attribute-based, usage control (UCON) based and Bell-LaPadula (BLP) based access control models.…”

Section: Related Workmentioning

confidence: 99%

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud

et al. 2020

Self Cite

View full text Add to dashboard Cite

Cloud is a computing model that provides sharing and supports ubiquitous on-demand access computing, providing new data processing and services for many industries, significantly reducing user computing and storage costs, and improving ease of use. With the development of cloud-scale and intensification, cloud security has become an essential issue in the field of cloud computing. Access control is one of the critical security technologies for protecting sensitive data stored in the cloud by enterprises and individuals. Since the centralized access control mechanism is adopted in the cloud, the sensitive data in the cloud are easy to be tampered with or leaked by hackers or cloud internal managers. To address this issue, we propose a blockchain-based access control framework with privacy protection called AuthPrivacyChain. Firstly, we use the account address of the node in blockchain as the identity, and at the same time, redefine the access control permission of data for the cloud, which is encrypted and stored in blockchain. After that, we design processes of access control, authorization, and authorization revocation in AuthPrivacyChain. Finally, we implement AuthPrivacyChain based on enterprise operation system (EOS), and the results show that AuthPrivacyChain can not only prevent hackers and administrators from illegally accessing resources, but also protect authorized privacy. INDEX TERMS Cloud computing, cloud security, access control, blockchain, privacy protection.

show abstract

Section: Related Workmentioning

confidence: 99%

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…We can even conduct telemedicine consultations through mobile devices at home. Most medical images used in Internet of Medical Things are grayscale images in which lesion information is quickly recognized by experienced doctors [1,2]. However, it is difficult for patients and residents to interpret medical images such as x-rays, CT scans and MRIs.…”

Section: Introductionmentioning

confidence: 99%

Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things

Fan

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Color medical images better reflect a patient's lesion information and facilitate communication between doctors and patients. The combination of medical image processing and the Internet has been widely used for clinical medicine on Internet of medical things. The classical Welsh method uses matching pixels to achieve color migration of grayscale images, but it exists problems such as unclear boundary and single coloring effect. Therefore, the key information of medical images after coloring can't be reflected efficiently. To address this issue, we propose an image coloring method based on Gabor filtering combined with Welsh coloring and apply it to medical grayscale images. By using Gabor filtering, which is similar to the visual stimulus response of simple cells in the human visual system, filtering in 4 directions and 6 scales is used to stratify the grayscale images and extract local spatial and frequency domain information. In addition, the Welsh coloring method is used to render the image with obvious textural features in the layered image. Our experiments show that the color transboundary problem can be solved effectively after the layered processing. Compared to images without stratification, the coloring results of the processed images are closer to the real image.

show abstract

“…The associate editor coordinating the review of this manuscript and approving it for publication was Amr Tolba . these medical images can now be presented on ambulancemounted intelligent systems for fast and accurate diagnosis with the development of artificial intelligence technology [2]- [4], mobile communication technology [5]- [8], the and Internet of Things [9]- [11]. However, the pixels of these medical images have been already fixed in the process of image production.…”

Section: Introductionmentioning

confidence: 99%

Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems

Liu

Kang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Ambulance services play a vital role in intelligent transportation systems (ITS). In an intelligent ambulance system, the medical images can help doctors quickly and accurately understand the patients' condition during first aid. On various display devices in different kinds of ambulances, content-aware image adaption can be used to better present the medical image among different display resolutions and aspect ratios. Most existing methods mainly focus on visual protection of salient areas, such as specific organ parts of the human body, with less attention paid to the visual effect of unimportant areas. However, the human visual system is more sensitive to the edge and contour of images, which are important for ambulance services. To improve the visual effect of adapted images, a contour-maintaining-based image adaption method for an efficient ambulance service in ITS is proposed here. Firstly, the proposed method innovatively combines the weighted gradient, saliency, and edge maps into an importance map. Secondly, energy is optimized for reducing contour distortion and interruption according to the visual slope and curvature of contours and edges in non-salient areas. Finally, applying the sub-procedure of a forward seam carving method, the optimal seams can more evenly pass through the contour areas. The experimental results demonstrate that the proposed method is more effective than other similar methods.

show abstract

Design and Performance Evaluation of Content-Oriented Communication System for IoT Network: A Case Study of Named Node Networking for Real-Time Video Streaming System

Cited by 17 publications

References 18 publications

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud

Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things

Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems

Contact Info

Product

Resources

About