PCMag

This Android Malware Connects to Google Gemini for Tips on Hacking Targets

PromptSpy' appears to be the first Android malware that uses generative AI in its execution flow, according to antivirus provider ESET.
Bleeping Computer

New Android malware uses AI to click on hidden browser ads

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...
Infosecurity-magazine.com

VoidLink Linux Malware Was Built Using an AI Agent, Researchers Reveal

VoidLink, the recently discovered Linux malware which targets Linux-based cloud servers, was likely almost entirely generated by AI, researchers have said. First detailed by cybersecurity analysts at ...
Bleeping Computer

New SantaStealer malware steals data from browsers, crypto wallets

A new malware-as-a-service (MaaS) information stealer named SantaStealer is being advertised on Telegram and hacker forums as operating in memory to avoid file-based detection. According to security ...
AFCEA

Robotics Researchers Take a Groundbreaking Approach to Land Mine Detection

Leaving behind a decades-long legacy of threats to life, land mines continue to be used across conflict zones and surrounding areas. Globally, the challenge remains immense. A 2024 NATO report notes ...
Scientific Research Publishing

Ferrag, M.A., Maglaras, L., Moschoyiannis, S. and Janicke, H. (2020) Deep Learning for Cyber Security Intrusion Detection: Approaches, Datasets, and Comparative Study. Journal ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
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 ...
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 ...
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 ...
GeekWire

Microsoft’s new AI reverse-engineers malware autonomously, marking a shift in cybersecurity

Microsoft says its new system “automates what is considered the gold standard in malware classification.” (GeekWire File Photo / Todd Bishop) Microsoft says it has created an advanced AI system that ...