Scientific Research Publishing

Al-Qatf, M., Lasheng, Y., Al-Habib, M. and Al-Sabahi, K. (2018) Deep Learning Approach Combining Sparse Autoencoder with SVM for Network Intrusion Detection. IEEE Access, 6 ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
GitHub

Enhancing EV Cost Prediction Using AutoEncoder-Based Feature Learning

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
GitHub

Fault Detection in Turbofan Engines Using LSTM AutoEncoder and Fine-Tuned LLM

This project focuses on fault detection in turbofan engines using the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset, specifically the DS02 subset. The system combines ...
CPO Magazine

Russian Malware Found Using LLM To Issue Real-Time Commands

A new Russia-based family of malware has been observed using a large language model (LLM) to issue commands on compromised systems in real time, which can potentially improve attacker capability by ...
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 ...
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 ...
Dark Reading

And Now Malware That Tells AI to Ignore It?

In what might well be a portent of things to come, researchers have discovered the first known malware sample in the wild that attempts to evade AI-powered security tools by essentially prompting them ...
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 ...