A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest develo** fields in …
one another with minimal human intervention. IoT is one of the fastest develo** fields in …
A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …
proliferation in many areas such as wearable devices, smart sensors and home appliances …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
IoT considerations, requirements, and architectures for smart buildings—Energy optimization and next-generation building management systems
D Minoli, K Sohraby… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is entering the daily operation of many industries; applications
include but are not limited to smart cities, smart grids, smart homes, physical security, e …
include but are not limited to smart cities, smart grids, smart homes, physical security, e …
Edge mesh: A new paradigm to enable distributed intelligence in internet of things
In recent years, there has been a paradigm shift in Internet of Things (IoT) from centralized
cloud computing to edge computing (or fog computing). Developments in ICT have resulted …
cloud computing to edge computing (or fog computing). Developments in ICT have resulted …
Application domains, evaluation data sets, and research challenges of IoT: A systematic review
We are at the brink of Internet of Things (IoT) era where smart devices and other wireless
devices are redesigning our environment to make it more correlative, flexible, and …
devices are redesigning our environment to make it more correlative, flexible, and …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
A survey on internet of things security from data perspectives
Abstract As the Internet of Things (IoT) sees an increasing use in the society, the security
challenge it faces is becoming more and more severe. Data collected and shared in the IoT …
challenge it faces is becoming more and more severe. Data collected and shared in the IoT …
[PDF][PDF] Comparison of fog computing & cloud computing
Fog computing is extending cloud computing by transferring computation on the edge of
networks such as mobile collaborative devices or fixed nodes with built-in data storage …
networks such as mobile collaborative devices or fixed nodes with built-in data storage …
An energy-efficient model for fog computing in the internet of things (IoT)
R Oma, S Nakamura, D Duolikun, T Enokido… - Internet of Things, 2018 - Elsevier
A huge number of devices like sensors in addition to computers are interconnected in the
IoT (Internet of Things). In the cloud computing model, sensor data is transmitted to servers …
IoT (Internet of Things). In the cloud computing model, sensor data is transmitted to servers …