SiliconANGLE

Skeleton Key attack shows how hackers are bypassing malware defenses using legitimate software

Attackers are increasingly bypassing traditional malware defenses by weaponizing legitimate remote monitoring and management tools to establish persistent backdoor access inside enterprise ...
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 ...
Nextgov

China is using advanced ‘Brickstorm’ malware against government and IT orgs, US assesses

The NSA and the Cybersecurity and Infrastructure Security Agency have assessed that China is using an advanced malware family to access government agencies and technology companies, according to ...
Infosecurity-magazine.com

Malware Manipulates AI Detection in Latest npm Package Breach

A new attempt to influence AI-driven security scanners has been identified in a malicious npm package. The package, eslint-plugin-unicorn-ts-2 version 1.2.1, appeared to be a TypeScript variant of the ...
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 ...
Bleeping Computer

New Herodotus Android malware fakes human typing to avoid detection

A new Android malware family, Herodotus, uses random delay injection in its input routines to mimic human behavior on mobile devices and evade timing-based detection by security software. Herodotus, ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
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 ...