Devdiscourse

Explainable AI boosts trust and transparency in IoT security systems

Explainable AI (XAI): Improving transparency in IDS decision-making builds trust and aids compliance with security ...
Phys.org

New tensor network-based approach could advance simulation of quantum many-body systems

The quantum many body problem has been at the heart of much of theoretical and experimental physics over the past few decades. Even though we have understood the fundamental laws that govern the ...
IEEE

Host-Based Intrusion Detection for Industrial Control Systems

Abstract: Industrial Control Systems (ICS) are increasingly vulnerable to cyberattacks, particularly those that circumvent standard Network-Based Intrusion Detection Systems (NIDS) and manipulate ...
Scientific Research Publishing

Shah, B. and H Trivedi, B. (2012) Artificial Neural Network Based Intrusion Detection System: A Survey. International Journal of Computer Applications, 39, 13-18.

ABSTRACT: Intelligent vehicles require strong cybersecurity. The 2021 UNECE WP.29 regulation mandates OEMs to establish Vehicle Security Operation Centers (VSOC), where Intrusion Detection Systems ...
IEEE

StaEn-IDS: An Explainable Stacking Ensemble Deep Neural Network-Based Intrusion Detection System for IoT

Abstract: The demand for the Internet of Things (IoT) has increased exponentially because it connects devices, applications, and people, allowing smooth real-time communication and data sharing. This ...
The Lancet

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

eInstitute of Otorhinolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai, China fDepartment of Otorhinolaryngology, Huazhong University of Science and Technology ...