Real-time big data processing for anomaly detection: A survey

RAA Habeeb, F Nasaruddin, A Gani… - International Journal of …, 2019 - Elsevier
The advent of connected devices and omnipresence of Internet have paved way for
intruders to attack networks, which leads to cyber-attack, financial loss, information theft in …

Big data analytics on Apache Spark

S Salloum, R Dautov, X Chen, PX Peng… - International Journal of …, 2016 - Springer
Apache Spark has emerged as the de facto framework for big data analytics with its
advanced in-memory programming model and upper-level libraries for scalable machine …

Internet of things (iot): Research, simulators, and testbeds

M Chernyshev, Z Baig, O Bello… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) vision is increasingly being realized to facilitate convenient and
efficient human living. To conduct effective IoT research using the most appropriate tools …

Artificial intelligence-based sensors for next generation IoT applications: A review

SC Mukhopadhyay, SKS Tyagi… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Sensors play a vital role in our daily lives and are an essential component for Internet of
Things (IoT) based systems as they enable the IoT to collect data to take smart and …

Fog computing job scheduling optimization based on bees swarm

S Bitam, S Zeadally, A Mellouk - Enterprise Information Systems, 2018 - Taylor & Francis
Fog computing is a new computing architecture, composed of a set of near-user edge
devices called fog nodes, which collaborate together in order to perform computational …

Smart healthcare: Challenges and potential solutions using internet of things (IoT) and big data analytics

S Zeadally, F Siddiqui, Z Baig, A Ibrahim - PSU research review, 2020 - emerald.com
Purpose The aim of this paper is to identify some of the challenges that need to be
addressed to accelerate the deployment and adoption of smart health technologies for …

A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance

Y Fu, C Li, FR Yu, TH Luan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or
performing autonomous control is the core of the Collision Avoidance (CA) system used to …

Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics

DD Marshall, R Powers - Progress in nuclear magnetic resonance …, 2017 - Elsevier
Metabolomics is undergoing tremendous growth and is being employed to solve a diversity
of biological problems from environmental issues to the identification of biomarkers for …

Certificateless public key authenticated encryption with keyword search for industrial internet of things

D He, M Ma, S Zeadally, N Kumar… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) integrates various types of intelligent terminals, mobile
devices, and communication technologies to enable the upgrade of traditional industries to …

The application of artificial intelligence and big data in the food industry

H Ding, J Tian, W Yu, DI Wilson, BR Young, X Cui… - Foods, 2023 - mdpi.com
Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …