Machine-learning-enabled intrusion detection system for cellular connected UAV networks
R Shrestha, A Omidkar, SA Roudi, R Abbas, S Kim - Electronics, 2021 - mdpi.com
The recent development and adoption of unmanned aerial vehicles (UAVs) is due to its wide
variety of applications in public and private sector from parcel delivery to wildlife …
variety of applications in public and private sector from parcel delivery to wildlife …
A radio anomaly detection algorithm based on modified generative adversarial network
X Zhou, J Xiong, X Zhang, X Liu… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Detecting ever increasing anomalous signals is critical to effective spectrum management. In
this letter, we present a radio anomaly detection algorithm based on modified generative …
this letter, we present a radio anomaly detection algorithm based on modified generative …
A novel insider attack and machine learning based detection for the internet of things
Due to the widespread functional benefits, such as supporting internet connectivity, having
high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) …
high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) …
Lightweight anomaly detection scheme using incremental principal component analysis and support vector machine
Wireless Sensors Networks have been the focus of significant attention from research and
development due to their applications of collecting data from various fields such as smart …
development due to their applications of collecting data from various fields such as smart …
CELOF: Effective and fast memory efficient local outlier detection in high-dimensional data streams
L Chen, W Wang, Y Yang - Applied Soft Computing, 2021 - Elsevier
Outlier detection is an important and challenging problem in industrial automation, where
data are often collected in large amounts but with little labeled information. To realize real …
data are often collected in large amounts but with little labeled information. To realize real …
ELOF: fast and memory-efficient anomaly detection algorithm in data streams
Y Yang, L Chen, CJ Fan - Soft Computing, 2021 - Springer
Anomaly detection in multivariate data is an import research field. Many studies have been
proposed aiming to develop the local outlier factor (LOF). However, the existing LOF-based …
proposed aiming to develop the local outlier factor (LOF). However, the existing LOF-based …
Security vulnerabilities and intelligent solutions for iomt systems
Abstract The Internet of Medical Things (IoMT) is one the most practical and useful
applications of the Internet of Things (IoT), achieved by connecting medical devices and …
applications of the Internet of Things (IoT), achieved by connecting medical devices and …
[PDF][PDF] DAM: a theoretical framework for SensorSecurity in IoT applications
As IoT applications are pervasively deployed across multiple domains, the potential impact
of their security vulnerabilities are also accentuated. Sensor nodes represent a critical …
of their security vulnerabilities are also accentuated. Sensor nodes represent a critical …
A grid partition-based local outlier factor for data stream processing
Outlier detection is getting significant attention in the research field of big data. Detecting the
outlier is important in various applications such as communication, finance, fraud detection …
outlier is important in various applications such as communication, finance, fraud detection …
Real-time FPGA-Based outlier detection using autoencoder and LSTM
NA Mohamed, JR Cavallaro - 2021 55th Asilomar Conference …, 2021 - ieeexplore.ieee.org
The world we live in and the one we are designing for tomorrow is based on monitoring
physical systems, specifically the capability of continuously gathering fine-grained …
physical systems, specifically the capability of continuously gathering fine-grained …