PCMag

This New Malware Lives on the Blockchain and Can't Ever Be Deleted. Here's What It Can Do

Hundreds of thousands of credentials from hundreds of companies are already compromised. Experts warn the campaign could ...
Ophthalmology Advisor

AI Model Detects Cataracts From Slit Lamp Images With High Accuracy

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
OECD

Using digital resources for learning

Standards and guidelines for development co-operation with concrete examples of their implementation ...
IEEE

Privacy-Preserving Android Malware Detection Using Deep Federated Learning

Abstract: This work represents a major breakthrough in the fields of legal Technology, digital governance and mobile cybersecurity. Malware attacks on Android are increasing daily at a considerable ...
PC Magazine

Malware Is Sleeping on the Blockchain, and It's Already Infected Dozens of Global Targets

It started with a work offer. Last year, the blockchain crime-detection firm Crystal Intelligence’s then-vice president of engineering received a LinkedIn message from a man asking if he would be up ...
GitHub

Android Malware Detection with Graph Reduction, Contrastive Learning, and LLM Embeddings

This project focuses on utilizing advanced techniques such as graph reduction, contrastive learning, and large language model (LLM) embeddings to enhance the detection of malware in Android ...
techbooky.com

FBI Warns of Handala Hackers Using Telegram for Malware

The U.S. Federal Bureau of Investigation (FBI) has issued a warning about a growing cyber threat involving Iran-linked hackers using Telegram to launch malware attacks against targets worldwide.
IEEE

Hybrid Deep Learning Pipeline with BiLSTM-Attention Autoencoder for Malware Detection

Abstract: This paper presents a Deep Neural Network-based approach for detecting malware. Malware detection is one of the major problems that has increasing challenges due to the sheer volume of new ...