Internet of things: Evolution, concerns and security challenges
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
Iot device type identification using hybrid deep learning approach for increased iot security
J Bao, B Hamdaoui, WK Wong - 2020 international wireless …, 2020 - ieeexplore.ieee.org
IoT networks can be viewed as collections of Internet-enabled physical devices and objects,
embedded with sensor, actuator, computation, storage and communication components, that …
embedded with sensor, actuator, computation, storage and communication components, that …
Supervised machine learning based network intrusion detection system for Internet of Things
D Rani, NC Kaushal - 2020 11th International conference on …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is an innovative invention that can combine physical object to the
Internet with an ability to transfer and access of the data through Internet, however with the …
Internet with an ability to transfer and access of the data through Internet, however with the …
DeepThink IoT: the strength of deep learning in internet of things
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …
revolutionized technology in the twenty-first century, enabling humans and machines to …
Malicious insider attack detection in IoTs using data analytics
Internet of Things (IoTs) are set to revolutionize our lives and are widely being adopted
nowadays. The IoT devices have a range of applications including smart homes, smart …
nowadays. The IoT devices have a range of applications including smart homes, smart …
Machine learning based anomaly detection for IoT network:(Anomaly detection in IoT network)
NK Sahu, I Mukherjee - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
As the world is leading towards having everything smart, like smart home, smart grid smart
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …
Security analysis of ddos attacks using machine learning algorithms in networks traffic
RJ Alzahrani, A Alzahrani - Electronics, 2021 - mdpi.com
The recent advance in information technology has created a new era named the Internet of
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
Things (IoT). This new technology allows objects (things) to be connected to the Internet …
A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection
Recent years have witnessed an in-depth proliferation of the Internet of Things (IoT) and
Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing …
Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing …