Security and privacy issues in smart cities/industries: technologies, applications, and challenges
The development of the Internet of things (IoT) is rapidly growing everywhere in our daily
lives. Advanced information and communication technologies play a vital role in the …
lives. Advanced information and communication technologies play a vital role in the …
Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
A review of smart contract-based platforms, applications, and challenges
Blockchain is a modern technology that has gained enormous attention in scientific and
practical applications. A smart contract is a digital transaction that runs, executes, and …
practical applications. A smart contract is a digital transaction that runs, executes, and …
Unsupervised deep learning for IoT time series
Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …
variety of areas, ranging from health informatics to network security. Nevertheless, the …
Predictive maintenance for smart industrial systems: a roadmap
The advent of Industry 4.0 and propelled the application of Artificial Intelligence in different
industrial fields and contexts, such as predictive maintenance (PdM). Through its ability to …
industrial fields and contexts, such as predictive maintenance (PdM). Through its ability to …
Anomaly detection for streaming data based on grid-clustering and Gaussian distribution
B Zou, K Yang, X Kui, J Liu, S Liao, W Zhao - Information Sciences, 2023 - Elsevier
A massive amount of real-time and evolving streaming data are produced from various
devices and applications. Anomaly detection is one of the main tasks of streaming data …
devices and applications. Anomaly detection is one of the main tasks of streaming data …
Review of anomaly detection algorithms for data streams
T Lu, L Wang, X Zhao - Applied Sciences, 2023 - mdpi.com
With the rapid development of emerging technologies such as self-media, the Internet of
Things, and cloud computing, massive data applications are crossing the threshold of the …
Things, and cloud computing, massive data applications are crossing the threshold of the …
A survey of graph-based deep learning for anomaly detection in distributed systems
Anomaly detection is a crucial task in complex distributed systems. A thorough
understanding of the requirements and challenges of anomaly detection is pivotal to the …
understanding of the requirements and challenges of anomaly detection is pivotal to the …
[HTML][HTML] Big data analytics, processing models, taxonomy of tools, V's, and challenges: State-of-art review and future implications
In the current digital era, data is budding tremendously from various sources like banks,
businesses, education, entertainment, etc. Due to its significant consequence, it became a …
businesses, education, entertainment, etc. Due to its significant consequence, it became a …
[HTML][HTML] Engineering the application of machine learning in an IDS based on IoT traffic flow
Abstract Internet of Things (IoT) devices are now widely used, enabling intelligent services
that, in association with new communication technologies like the 5G and broadband …
that, in association with new communication technologies like the 5G and broadband …