KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection. [PDF]
Ullah S, Wu J, Kamal MM, Saudagar AKJ.
europepmc +1 more source
A generalized distributed consensus algorithm for monitoring and decision making in the IoT
Denis Carvin+2 more
openalex +2 more sources
Fog Computing Distributing Data and Intelligence for Resiliency and Scale Necessary for IoT [PDF]
Charles C. Byers, Patrick Wetterwald
openalex +1 more source
Piezoelectric Origami Metamaterials for Enhanced Handwriting Recognition and Trajectory Tracking
This study introduces origami metamaterials inspired by Kresling piezoelectric generators to enhance biometric authentication and handwriting trajectory recognition. Overcoming sensor limitations in conventional devices, the design enables multichannel data acquisition with fewer sensors, utilizing machine learning to accurately identify content ...
Yinzhi Jin, Ting Tan, Zhimiao Yan
wiley +1 more source
Blended clustering energy efficient routing and PUF based authentication in IoT enabled smart agriculture systems. [PDF]
Chandrasekaran SK, Rajasekaran VA.
europepmc +1 more source
Ontology Based User-centric Service Environment for Context Aware IoT Services
Hoan-Suk Choi+3 more
openalex +2 more sources
A novel in situ XOR encryption/decryption method using a nanoelectromechanical physically unclonable function (NEM‐PUF) is introduced, enhancing security in data transfers between servers/clouds and edge devices. Integrated with the CMOS BEOL process, NEM‐PUFs utilize random stiction for entropy, enabling efficient bitwise XOR operations. This approach
Changha Kim+6 more
wiley +1 more source
Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security. [PDF]
A R S, Katiravan J.
europepmc +1 more source
Research on the Application of Internet of Things (IOT) for Urban Gas Industry [PDF]
Weiqing Zhao
openalex +1 more source
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem+5 more
wiley +1 more source