Enabling massive IoT toward 6G: A comprehensive survey
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …
augmented/virtual reality online games, autonomous driving, and smart everything, which …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Machine learning and the Internet of Things security: Solutions and open challenges
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …
technologies are also responsible for intensifying various everyday smart applications …
A framework for anomaly detection and classification in Multiple IoT scenarios
The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …
recent years, this activity has been also extended to social networking and social …
An intelligent intrusion detection system for distributed denial of service attacks: A support vector machine with hybrid optimization algorithm based approach
S Sokkalingam, R Ramakrishnan - … and Computation: Practice …, 2022 - Wiley Online Library
Cloud computing offers comfortable service to business sectors as they can concentrate on
their products. Over the internet, cloud computing is liable to various security threats and …
their products. Over the internet, cloud computing is liable to various security threats and …
Internet of things (IoT): Operating system, applications and protocols design, and validation techniques
By combining energy efficient micro-controllers, low-power radio transceivers, and sensors
as well as actuators in so called smart objects, we are able to connect the digital cyber world …
as well as actuators in so called smart objects, we are able to connect the digital cyber world …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …
[HTML][HTML] IoT data analytic algorithms on edge-cloud infrastructure: A review
The adoption of Internet of Things (IoT) sensing devices is growing rapidly due to their ability
to provide real-time services. However, it is constrained by limited data storage and …
to provide real-time services. However, it is constrained by limited data storage and …
[HTML][HTML] Toward improved machine learning-based intrusion detection for internet of things traffic
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
Hybrid group anomaly detection for sequence data: Application to trajectory data analytics
Many research areas depend on group anomaly detection. The use of group anomaly
detection can maintain and provide security and privacy to the data involved. This research …
detection can maintain and provide security and privacy to the data involved. This research …