Wireless Body Area Networks are gaining popularity in healthcare applications due to recent advances in sensor technology, integrated circuits, and wireless communication. These systems need to ensure that data is protected during collection, transmission, processing and storage. Currently, no complete solution exists for ensuring data is protected while also meeting regulatory security requirements for wireless body area network applications. To develop effective solutions, it is necessary to explore the attacks and security requirements of wireless body area network applications. There is no comprehensive list of attacks and security requirements. This paper will present a systematic literature review of potential attacks and security requirements for ensuring data security in wireless body area networks.
Assuring security and privacy of data is a key challenge for organizations when developing WBAN applications. The reasons for this challenge include (i) developers have limited knowledge of market-specific regulatory requirements and security standards, and (ii) there are a vast number of security controls with insufficient implementation detail. To address these challenges, we have developed a WBAN data security and privacy risk management framework. The goal of this paper is trifold. First, we present the methodology used to develop the framework. The framework was developed by considering recommendations from legislation and standards. Second, we present the findings from an initial validation of the framework’s usability and effectiveness of the security and privacy controls. Finally, we present an updated version of the framework and explain how it addresses the aforementioned challenges.
Abstract-Brief episodes of network faults and performance issues adversely affect the user Quality of Experience (QoE). Besides damaging the current opinions of users, these events may also shape user's future perception of the service. Therefore, it is important to quantify the impact of such events on QoE over time. In this paper, we present our findings on the temporal aspects of user feedback to disturbances on networks. These findings are based on subjective user tests performed in the context of web browsing on an e-commerce website. The results of this study suggest that the QoE drops significantly every time the page load time grows. The after-effects of network disturbances on user QoE remain visible even when the network problems are over, i.e., users do not immediately return to the same level of opinion scores as compared to the corresponding pre-disturbance phase. They tend to remember their recent experiences. Our results also show that there are four segments of users that exist with regards to their feedback to page load times. Network operators may customize their services according to each segment of users to raise the overall QoE. Finally, we show that the exponential relationship provides best fits of QoE and page load times for all segments of users.
No abstract
Wireless body area networks (WBANs) have become popular for providing real-time healthcare monitoring services. WBANs are an important subset of Cyber-physical systems (CPS). As the amount of sensing devices in such healthcare applications is growing rapidly, security, scalability, availability and privacy are a real challenge. Adoption of cloud computing is growing in the healthcare sector because it can provide high scalability while ensuring availability and affordable healthcare monitoring services. Serverless computing brings a new era to the design and deployment of event-driven applications in cloud computing. Serverless computing also helps the developer to build a large application using Function as a Service without thinking about the management and scalability of the infrastructure. The goal of this paper is to propose a dependable serverless architecture for WBAN applications. This architecture will improve the dependability of WBAN applications through ensuring scalability, availability, security and privacy by design, in addition to being costeffective. This paper presents a detailed price comparison between two leading cloud service providers. Additionally, this paper reports on the findings from a case study which evaluated security, scalability and availability of the proposed architecture. This evaluation was conducted by load testing and rule-based intrusion detection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.