Review of Abnormalities Detection in IoT Using Evolutionary Deep Learning
SR Kokaz, ATA Salih… - … Conference on Information …, 2023 - ieeexplore.ieee.org
Today, the Internet is used for various applications such as sending or receiving emails,
access to multimedia services, social networks, etc. Moreover, the population of people who …
access to multimedia services, social networks, etc. Moreover, the population of people who …
Revolutionizing IoT Network Security with Deep Learning-Anomaly Detection Model
M Vyas, R Vijayaganth, J Chandhok… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The term “Internet of Things”(IoT) is used to describe the collection of data and the
connectivity of items to the web that requires little to no human interaction. The IoT is a …
connectivity of items to the web that requires little to no human interaction. The IoT is a …
Machine Learning-Based Anomaly Detection in the Internet of Things
One of the primary problems facing the Internet of Things (IoT) that demands immediate
attention is the issue of anomaly and identifying attacks in IoT environments. The IoT …
attention is the issue of anomaly and identifying attacks in IoT environments. The IoT …
Machine Learning Algorithms for Attack and Anomaly Detection in IoT
R Kushwah, R Garg - … Conference on Information Security, Privacy and …, 2022 - Springer
With the invention of IoT and its range of smart applications, people's life has been reformed
drastically. IoT infrastructure consists of actuators and sensors that generate a massive …
drastically. IoT infrastructure consists of actuators and sensors that generate a massive …
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 …
DETECT ANOMALIES AND STRENGTHEN CYBERSECURITY IN IOT NETWORKS USING HIGH-LEVEL DEEP LEARNING TECHNIQUES
KM Abdullah - CENTRAL ASIAN JOURNAL OF …, 2023 - cajmtcs.centralasianstudies.org
Specifically, we have worked on applying advanced deep learning techniques to improve
cybersecurity in IoT networks and efficiently identify anomalies. First, we collect and prepare …
cybersecurity in IoT networks and efficiently identify anomalies. First, we collect and prepare …
Advances in ml-based anomaly detection for the iot
C Lübben, MO Pahl - 2021 5th Cyber Security in Networking …, 2021 - ieeexplore.ieee.org
The Internet of Things drives many activities in our modern world. Through its heterogeneity
and connectivity to the Internet, it provides an attractive and big attack surface. Anomaly …
and connectivity to the Internet, it provides an attractive and big attack surface. Anomaly …
Improving ML/DL Solutions for Anomaly Detection in IoT Environments
As part of the evolution toward an era of Web 3.0, the Internet of Things (IoT) bridges
physical smart devices to digital world to enhance services for consumer convenience …
physical smart devices to digital world to enhance services for consumer convenience …
Enhancing cybersecurity in IoT networks: SLSTM-WCO algorithm for anomaly detection
Abstract Internet of Things (IoT) security refers to different aspects of security, including
methods, tactics, and technologies used to protect these devices from unauthorized access …
methods, tactics, and technologies used to protect these devices from unauthorized access …
[HTML][HTML] Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning
As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …