scholarly journals Evaluation of a policy enforcement solution in telemedicine with offline use cases

2021 ◽  
Author(s):  
Zoltán Szabó

Abstract The emerging popularity of telemedicine solutions brought an alarming problem due to the lack of proper access control solutions. With the inclusion of multi-tiered, heterogeneous infrastructures containing Internet of things and edge computing elements, the severity and complexity of the problem became even more alarming, calling for an established access control framework and methodology. The goal of the research is to define a possible solution with a focus on native cloud integration, possible deployment at multiple points along the path of the healthcare data, and adaptation of the fast healthcare interoperability resources standard. In this paper, the importance of this issue in offline use cases is presented and the effectiveness of the proposed solution is evaluated.

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Kaiqing Huang ◽  
Xueli Wang ◽  
Zhiqiang Lin

With the assistance of edge computing which reduces the heavy burden of the cloud center server by using the network edge servers, the Internet of Things (IoTs) architectures enable low latency for real-time devices and applications. However, there still exist security challenges on data access control for the IoT. Multiauthority attribute-based encryption (MA-ABE) is a promising technique to achieve access control over encrypted data in cross-domain applications. Based on the characteristics and technical requirements of the IoT, we propose an efficient fine-grained revocable large universe multiauthority access control scheme. In the proposed scheme, the most expensive encryption operations have been executed in the user’s initialization phase by adding a reusable ciphertext pool besides splitting the encryption algorithm to online encryption and offline encryption. Massive decryption operations are outsourced to the near-edge servers for reducing the computation overhead of decryption. An efficient revocation mechanism is designed to change users’ access privileges dynamically. Moreover, the scheme supports ciphertext verification. Only valid ciphertext can be stored and transmitted, which saves system resources. With the help of the chameleon hash function, the proposed scheme is proven CCA2-secure under the q-DPBDHE2 assumption. The performance analysis results indicate that the proposed scheme is efficient and suitable in edge computing for the IoT.


Author(s):  
Muneer Bani Yassein ◽  
Wail Mardini ◽  
Amnah Al-Abdi

Internet of Things (IoT) is one of the most active and hot topics these days in which most of our everyday objects are connected with each other over internal and external networks. As in any data communication paradigm there are security aspects that should be taken care of. The traditional security mechanisms are usually not applicable in IoT because there are different standards involved, this make the security preservation is one of the main challenges in IoT. According to previous surveys, there are many of security issues in regards to IoT. In this chapter, five issues from the security issues in IoT are discussed; Access Control, Authentication, Privacy, Policy Enforcement, and Trust. After that, major proposed solutions from the literature is listed and compared according to the strength and weakness points for each of them.


2016 ◽  
Vol 23 (5) ◽  
pp. 17-23 ◽  
Author(s):  
Yun Li ◽  
Kok Keong Chai ◽  
Yue Chen ◽  
Jonathan Loo

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 452
Author(s):  
Nour Alhuda Sulieman ◽  
Lorenzo Ricciardi Celsi ◽  
Wei Li ◽  
Albert Zomaya ◽  
Massimo Villari

Edge computing is a distributed computing paradigm such that client data are processed at the periphery of the network, as close as possible to the originating source. Since the 21st century has come to be known as the century of data due to the rapid increase in the quantity of exchanged data worldwide (especially in smart city applications such as autonomous vehicles), collecting and processing such data from sensors and Internet of Things devices operating in real time from remote locations and inhospitable operating environments almost anywhere in the world is a relevant emerging need. Indeed, edge computing is reshaping information technology and business computing. In this respect, the paper is aimed at providing a comprehensive overview of what edge computing is as well as the most relevant edge use cases, tradeoffs, and implementation considerations. In particular, this review article is focused on highlighting (i) the most recent trends relative to edge computing emerging in the research field and (ii) the main businesses that are taking operations at the edge as well as the most used edge computing platforms (both proprietary and open source). First, the paper summarizes the concept of edge computing and compares it with cloud computing. After that, we discuss the challenges of optimal server placement, data security in edge networks, hybrid edge-cloud computing, simulation platforms for edge computing, and state-of-the-art improved edge networks. Finally, we explain the edge computing applications to 5G/6G networks and industrial internet of things. Several studies review a set of attractive edge features, system architectures, and edge application platforms that impact different industry sectors. The experimental results achieved in the cited works are reported in order to prove how edge computing improves the efficiency of Internet of Things networks. On the other hand, the work highlights possible vulnerabilities and open issues emerging in the context of edge computing architectures, thus proposing future directions to be investigated.


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