IEEE

Zero-Day Malware Detection Using Autoencoder and Hybrid Deep Learning Model

Abstract: Malware continues to pose a serious threat to cybersecurity, especially with the rise of unknown or zero day attacks that bypass the traditional antivirus tools. This study proposes a hybrid ...
Phys.org

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...
News Medical

Deep learning tool improves accuracy of lung nodule malignancy detection

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
The New York Times

21 Ways People Are Using A.I. at Work

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
insideHPC

8 Years in the Making: Sandia Team Creates Malware Detection Software with Livermore HPC

A cybersecurity platform, under development for eight years at Sandia National Laboratories to detect and analyze advanced malware threats, is now publicly available, giving defenders in the public ...
SiliconANGLE

Booz Allen debuts Vellox Reverser to automate malware reverse engineering using AI

Defense technology company Booz Allen Hamilton Inc. today announced the launch of Vellox Reverser, an artificial intelligence cloud product that protects organizations from malware as cyberattacks ...
Bleeping Computer

Android malware Konfety uses malformed APKs to evade detection

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection. Konfety poses as a legitimate ...
Scientific Research Publishing

Casillo, D.M., Coppola, S., De Santo, M., Pascale, F. and Santini, S. (2021) Anomaly Detection Approaches in Industrial IoT: A Survey. Sensors, 21, Article 4759.

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
Frontiers

Deep learning-based feature selection for detection of autism spectrum disorder

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of ...
Bleeping Computer

TikTok videos now push infostealer malware in ClickFix attacks

Cybercriminals are using TikTok videos to trick users into infecting themselves with Vidar and StealC information-stealing malware in ClickFix attacks. As Trend Micro recently discovered, the threat ...