The Hacker News

New Wave of DPRK Attacks Uses AI-Inserted npm Malware, Fake Firms, and RATs

Claude Opus commit added malicious npm dependency in Feb 2026, enabling crypto theft and persistent RAT access.
The Security Ledger

Brinker Introduces a Novel Approach to Deepfake Detection

Malicious intent-based deepfake detection shifts the focus from purely technical analysis to real-world risk and impact. Bri ...
AlphaGalileo

An approach for detecting encrypted malware traffic via fully convolutional masked autoencoders

Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...

DeepSeek’s Sequel Set to Extend China’s Reach in Open-Source A.I.

DeepSeek released its new model just days after Moonshot AI, another Chinese start-up, introduced its latest open-source ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...
IEEE

Hybrid Deep Learning Framework for IoT Botnet Detection Using Network Flow Features and Autoencoder-Based Analysis

Abstract: This study proposes a novel deep learning-based IDS, or intrusion detection system, for IoT networks to tackle the growing challenge of keeping up with complicated botnet attacks and ...
IEEE

Wideband Hybrid-Field THz UM-MIMO Channel Estimation: A Dual-Attention-Aided Deep-Unfolded Bayesian Learning Approach

Abstract: To efficiently implement Terahertz (THz) communications in the 6G era, ultra-massive multiple-input multiple-output (UM-MIMO) technique is considered essential. However, effective wideband ...