AI-driven attacks, autonomous malware, AI-powered defenses, and the impact of consolidation on the threat landscape.

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 ...

The decades-old "finger" command is making a comeback,, with threat actors using the protocol to retrieve remote commands to execute on Windows devices. In the past, people used the finger command to ...

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 ...

What Happened: So, Google’s top security – Google’s Threat Intelligence Group, or GTIG – just found something that is frankly pretty terrifying. It’s a new type of malware they’re calling PROMPTFLUX.

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 ...

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, ...

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 ...

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 ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...