Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms

YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …

Effective attack detection in internet of medical things smart environment using a deep belief neural network

S Manimurugan, S Al-Mutairi, MM Aborokbah… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has lately developed into an innovation for developing smart
environments. Security and privacy are viewed as main problems in any technology's …

An intrusion detection system for internet of medical things

G Thamilarasu, A Odesile, A Hoang - IEEE Access, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is making strong advances in healthcare with the promise of
transformation in technological, social and economic prospects, paving the way for a healthy …

Internet of things: Evolution, concerns and security challenges

P Malhotra, Y Singh, P Anand, DK Bangotra, PK Singh… - Sensors, 2021 - mdpi.com
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 …

Deep learning approach for intrusion detection system (ids) in the internet of things (iot) network using gated recurrent neural networks (gru)

MK Putchala - 2017 - rave.ohiolink.edu
Abstract The Internet of Things (IoT) is a complex paradigm where billions of devices are
connected to a network. These connected devices form an intelligent system of systems that …

WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks

B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …

A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Framework for detection of malicious activities in IoT networks using keras deep learning library

A Nagisetty, GP Gupta - 2019 3rd international conference on …, 2019 - ieeexplore.ieee.org
Secure and reliable services of the smart cities are generally depend on the reliable
services provided by different devices of the Internet of Things ecosystem and Internet of …

Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks

JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …