/pdf/a-break-in-the-clouds-towards-a-cloud-definition-svovsw1r5a.pdf

A Break in the Clouds: Towards a Cloud Definition

Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Internet of things: A survey on enabling technologies, application and standardization

Abstract The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it as Meta. While several studies conducted literature reviews to summarize the findings related to the Metaverse in general, no study to the best of our knowledge focused on systematically summarizing the finding related to the Metaverse in education. To cover this gap, this study conducts a systematic literature review of the Metaverse in education. It then applies both content and bibliometric analysis to reveal the research trends, focus, and limitations of this research topic. The obtained findings reveal the research gap in lifelogging applications in educational Metaverse. The findings also show that the design of Metaverse in education has evolved over generations, where generation Z is more targeted with artificial intelligence technologies compared to generation X or Y. In terms of learning scenarios, there have been very few studies focusing on mobile learning, hybrid learning, and micro learning. Additionally, no study focused on using the Metaverse in education for students with disabilities. The findings of this study provide a roadmap of future research directions to be taken into consideration and investigated to enhance the adoption of the Metaverse in education worldwide, as well as to enhance the learning and teaching experiences in the Metaverse. 

/pdf/is-metaverse-in-education-a-blessing-or-a-curse-a-combined-39ocoj1r.pdf

Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis

Internet of medical things (IoMT) is getting researchers’ attention due to its wide applicability in healthcare Smart healthcare sensors and IoT enabled medical devices exchange data and collaborate with other smart devices without human interaction to securely transmit collected sensitive healthcare data towards the server nodes Alongside data communications, security and privacy is also quite challenging to securely aggregate and transmit healthcare data towards Fog and cloud servers We explored the existing surveys to identify a gap in literature that a survey of fog-assisted secure healthcare data collection schemes is yet contributed in literature This paper presents a survey of different data collection and secure transmission schemes where Fog computing based architectures are considered A taxonomy is presented to categorize the schemes Fog assisted smart city, smart vehicle and smart grids are also considered that achieve secure, efficient and reliable data collection with low computational cost and compression ratio We present a summary of these scheme along with analytical discussion Finally, a number of open research challenges are identified Moreover, the schemes are explored to identify the challenges that are addressed in each scheme

/pdf/secure-healthcare-data-aggregation-and-transmission-in-iot-a-5de2gvb2zn.pdf

Secure Healthcare Data Aggregation and Transmission in IoT—A Survey

ZigBee is one of the communication protocols used in the Internet of Things (IoT) applications. In typical deployment scenarios involving low-cost and low-power IoT devices, many communication features are disabled, consequently affecting the security offered by ZigBee. The ZigBee specification assumes that deployment of frame counters is sufficient to mitigate replay attacks in secure ZigBee networks. However, we demonstrate that it is insufficient in this paper (i.e., the network is no longer secure after the coordinator restarts). As a countermeasure, we present a timestamp-based scheme to mitigate replay attacks. Our mitigation strategy does not consume power significantly, and fully powered devices will be responsible for providing power-constrained devices with the current timestamp. The proposed scheme is designed for all ZigBee topologies and different states of ZigBee End Devices (ZEDs). Findings from our evaluation show that the proposed scheme can successfully mitigate replay attacks, with no significant network performance degradation even assuming a worst-case scenario (i.e., many devices are sending data simultaneously).

Timestamp Scheme to Mitigate Replay Attacks in Secure ZigBee Networks

Internet of Things (IoTs) is a big world of connected objects, including the small and low-resources devices, like sensors, as well as the full-functional computing devices, such as servers and routers in the core network. With the emerging of new IoT-based applications, such as smart transportation, smart agriculture, healthcare, and others, there is a need for making great efforts to achieve a balance in using the IoT resources, including Computing, Communication, and Caching. This paper provides an overview of the convergence of Computing, Communication, and Caching (CCC) by covering the IoT technology trends. At first, we give a snapshot of technology trends in communication, computing, and caching. As well, we describe the convergence in sensors, devices, and gateways. Addressing the aspect of convergence, we discuss the relationship between CCC technologies in collecting, indexing, processing, and storing data in IoT. Also, we introduce the three dimensions of the IoTs based on CCC. We explore different existing technologies that help to solve bottlenecks caused by a large number of physical devices in IoT. Finally, we propose future research directions and open problems in the convergence of communication, computing, and cashing with sensing and actuating devices.

Convergence of computing, communication, and caching in internet of things

Device fingerprint extracting has emerged as a popular but debatable technique to identify users by recognizing their devices. Two main drawbacks significantly affect the accuracy and stability of the whole process: the spoofing and the unstable device hardware or software features. In this paper, we propose a fingerprint framework mainly based on the hardware system ability of the tested devices. We have made an experiment to prove that every computer or device has different CPU graph when running specific programs (challenges) from other computers. The experiment results show that using the CPU graphs with our proposed comparison mechanism can achieve the high uniqueness and stability of the extracted fingerprint comparing with other fingerprint techniques. We also design a prototype model based on the device fingerprint and biological features to fix the drift problem.

CPG-FS: A CPU Performance Graph Based Device Fingerprint Scheme for Devices Identification and Authentication

Metaverse is a new type of Internet application and social form that integrates a variety of new technologies. It has the characteristics of multi-technology, sociality, and hyper spatiotemporality. This paper introduces the development status of Metaverse, from the five perspectives of network infrastructure, management technology, basic common technology, virtual reality object connection, and virtual reality convergence, it introduces the technical framework of Metaverse. This paper also introduces the nature of Metaverse's social and hyper spatiotemporality, and discusses the first application areas of Metaverse and some of the problems and challenges it may face.

A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges.

Internet of things (IoT) comprises of large no of devices that are remotely communicated through different networks. Healthcare sensing devices are connected with the collector nodes to transmit data through FoG server over the public cloud server. Data protection against different security risks is mandatory. This paper presents a symmetric key based encryption mechanism for transmission of aggregated data for healthcare sensing. To reduce duplicate values, we have presented a Controlled Window-size based Chunking Algorithm (CWCA). It applies minimum and maximum value threshold on window sizes to ensure reasonable sized chunks. A window size greater than the seventy-five percent of the threshold window size is acceptable. If the window size is less than this, then next cut point is identified based on the reference value like similar temperature in the next patient's data. In cases where chunk size is larger than the threshold size then data string is back tracked till the nearby delimiter. To validate our work, we have developed a testbed using WCF services for implementing de-duplication algorithms in ASP.net and C# and deployed on FoG server and Windows Azure Cloud. Results prove the supremacy of our scheme in terms of Chunk frequency, average chunk size along with minimum and maximum chunk sizes.

Fadi Farha

Papers

Timestamp Scheme to Mitigate Replay Attacks in Secure ZigBee Networks

Convergence of computing, communication, and caching in internet of things

CPG-FS: A CPU Performance Graph Based Device Fingerprint Scheme for Devices Identification and Authentication

A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges.

Secure Healthcare Data Aggregation and Deduplication Scheme for FoG-Orineted IoT