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While the domain of big data is anticipated to affect many aspects of human endeavour, there are numerous challenges in building big data applications among which is how to address big data characteristics in quality requirements. In this paper, we propose a novel, unified, approach for specifying big data characteristics (e.g., velocity of data arrival) in quality requirements (i.e., those requirements...
To assist the vulnerability identification process, researchers proposed prediction models that highlight (for inspection) the most likely to be vulnerable parts of a system. In this paper we aim at making a reliable replication and comparison of the main vulnerability prediction models. Thus, we seek for determining their effectiveness, i.e., their ability to distinguish between vulnerable and non-vulnerable...
Using internet of things (IoT) to connect things, service, and people for intelligent operations has been discussed and deployed in many industry domains such as smart city, smart energy, healthcare, food and water tracking, logistics and retail, and transportation. However, scarce information is available for IoT usage in industrial automation domain for reliable and collaborative automation with...
The present and future smart grid has a large number of devices that produce an avalanche of data. Our research explores whether we can channel this avalanche to drive more efficient NERC CIP audits. The power industry has both high-level, natural-language NERC CIP policies and low-level data sources such as router configuration files, Windows registries, and PMU data. Utilities must use low-level...
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