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"Optimal Verifiable Data Streaming Under Concurrent Queries" by Jianghong Wei, Meixia Miao et al. - Vimarsana News

"Optimal Verifiable Data Streaming Under Concurrent Queries" by Jianghong Wei, Meixia Miao et al.

The rapid development of both hardware and software has promoted the popularization of various real-time applications like health monitoring and intrusion detection that are widely deployed in outsourcing scenarios, e.g., mobile edge computing and cloud computing. In these applications, end devices continuously generate unbounded sequences of data items at a fast rate, i.e., the so-called streaming data. Nevertheless, storing and processing massive amounts of streaming data poses a challenge for resources-restricted end devices. Although outsourcing data items to edge servers or cloud servers ...

Source: uow.edu.au
"Optimal Verifiable Data Streaming Protocol with Data Auditing" by Jianghong Wei, Guohua Tian et al. - Vimarsana News

"Optimal Verifiable Data Streaming Protocol with Data Auditing" by Jianghong Wei, Guohua Tian et al.

As smart devices connected to networks like Internet of Things and 5G become popular, the volume of data generated over time (i.e., stream data) by them is growing rapidly. As a consequence, for these resources-limited client-side devices, it becomes very challenging to store the continuously generated stream data locally. Although the cloud storage provides a perfect solution to this problem, the data owner still needs to ensure the integrity of the outsourced stream data, since various applications built upon stream data are sensitive of both its context and order. To this end, the notion of...

Source: uow.edu.au
"Verifiable data streaming with efficient update for intelligent automa" by Meixia Miao, Jianghong Wei et al. - Vimarsana News

"Verifiable data streaming with efficient update for intelligent automa" by Meixia Miao, Jianghong Wei et al.

The wide deployment of Internet of Things (IoT) devices enables the controller to continuously collect massive volume data in automation systems, and makes it possible to make intelligent decisions based on machine learning techniques. In fact, data-driven intelligent automation systems have been common in the industrial community. Nevertheless, how to effectively store the collected stream data and ensure their integrity is still challenging. To this end, the notion of verifiable data streaming (VDS) protocol, which enables a client to outsource the stream data to an untrusted server in a ver...

Source: uow.edu.au