Feature engineering and deep learning-based intrusion detection framework for securing edge IoT
Devices belonging to the realm of edge Internet of Things (IoT) are becoming highly
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …
Refined LSTM based intrusion detection for denial-of-service attack in Internet of Things
KO Adefemi Alimi, K Ouahada… - Journal of sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a promising technology that allows numerous devices to be
connected for ease of communication. The heterogeneity and ubiquity of the various …
connected for ease of communication. The heterogeneity and ubiquity of the various …
A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …
academic field. The objective of IoT is to combine the physical environment with the cyber …
[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …
Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
DeepDCA: Novel network-based detection of IoT attacks using artificial immune system
Recently Internet of Things (IoT) attains tremendous popularity, although this promising
technology leads to a variety of security obstacles. The conventional solutions do not suit the …
technology leads to a variety of security obstacles. The conventional solutions do not suit the …
Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
Intrusion detection in industrial internet of things network‐based on deep learning model with rule‐based feature selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
A lightweight optimized deep learning-based host-intrusion detection system deployed on the edge for IoT
I Idrissi, M Mostafa Azizi… - International Journal of …, 2021 - journal.uob.edu.bh
The Internet of Things (IoT) is now present in every domain from applications in smart
homes, Smart Cities, Industrial Internet of Things (IIoT), such as e-Health, and beyond. The …
homes, Smart Cities, Industrial Internet of Things (IIoT), such as e-Health, and beyond. The …
Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset
Wide adoption of Internet of Things (IoT) devices and applications encounters security
vulnerabilities as roadblocks. The heterogeneous nature of IoT systems prevents common …
vulnerabilities as roadblocks. The heterogeneous nature of IoT systems prevents common …