[HTML][HTML] Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life.
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
A comprehensive study of the IoT cybersecurity in smart cities
Smart cities exploit emerging technologies such as Big Data, the Internet of Things (IoT),
Cloud Computing, and Artificial Intelligence (AI) to enhance public services management …
Cloud Computing, and Artificial Intelligence (AI) to enhance public services management …
[HTML][HTML] 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 …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …
addressing countless limitation of traditional health-care systems such as quality of patient …
Anomaly based network intrusion detection for IoT attacks using deep learning technique
Abstract Internet of Things (IoT) applications are growing in popularity for being widely used
in many real-world services. In an IoT ecosystem, many devices are connected with each …
in many real-world services. In an IoT ecosystem, many devices are connected with each …
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 …
Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
[HTML][HTML] 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 …
LSTM-Markov based efficient anomaly detection algorithm for IoT environment
V Shanmuganathan, A Suresh - Applied Soft Computing, 2023 - Elsevier
The seamless integration of wireless and IoT device in normal day to day life and for smart
homes has enabled more security and privacy needs. The attack or unauthorized access to …
homes has enabled more security and privacy needs. The attack or unauthorized access to …