[HTML][HTML] An overview of IoT sensor data processing, fusion, and analysis techniques

R Krishnamurthi, A Kumar, D Gopinathan, A Nayyar… - Sensors, 2020 - mdpi.com
In the recent era of the Internet of Things, the dominant role of sensors and the Internet
provides a solution to a wide variety of real-life problems. Such applications include smart …

Network intrusion detection for IoT security based on learning techniques

N Chaabouni, M Mosbah, A Zemmari… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …

[HTML][HTML] Machine learning for Internet of Things data analysis: A survey

MS Mahdavinejad, M Rezvan, M Barekatain… - Digital Communications …, 2018 - Elsevier
Rapid developments in hardware, software, and communication technologies have
facilitated the emergence of Internet-connected sensory devices that provide observations …

Complementing IoT services through software defined networking and edge computing: A comprehensive survey

W Rafique, L Qi, I Yaqoob, M Imran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

Challenges and opportunities in edge computing

B Varghese, N Wang, S Barbhuiya… - … conference on smart …, 2016 - ieeexplore.ieee.org
Many cloud-based applications employ a data centers as a central server to process data
that is generated by edge devices, such as smartphones, tablets and wearables. This model …

[HTML][HTML] Edge-computing architectures for internet of things applications: A survey

S Hamdan, M Ayyash, S Almajali - Sensors, 2020 - mdpi.com
The rapid growth of the Internet of Things (IoT) applications and their interference with our
daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …

A survey on network methodologies for real-time analytics of massive IoT data and open research issues

S Verma, Y Kawamoto, ZM Fadlullah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

The Internet of Things: A review of enabled technologies and future challenges

IU Din, M Guizani, S Hassan, BS Kim, MK Khan… - Ieee …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging classical model, envisioned as a system of
billions of small interconnected devices for posing the state-of-the-art findings to real-world …

A survey on iot big data: current status, 13 v's challenges, and future directions

M Bansal, I Chana, S Clarke - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Driven by the core technologies, ie, sensor-based autonomous data acquisition and the
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …

IoT healthcare analytics: The importance of anomaly detection

A Ukil, S Bandyoapdhyay, C Puri… - 2016 IEEE 30th …, 2016 - ieeexplore.ieee.org
Healthcare data is quite rich and often contains human survival related information.
Analyzing healthcare data is of prime importance particularly considering the immense …