dlr-ne-ics-security

DLR-NE for ICS Security Games Dynamical Low-Rank Equilibrium Computation for Stochastic Games between Advanced Persistent Threats and Moving Target Defense Regular Paper, under review at Automatica resubmitted October 2026 Overview This repository contains the implementation and experimental...

VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats

Enterprise networks are continuously targeted by Advanced Persistent Threats APTs, attack campaigns exploiting software vulnerabilities to compromise critical assets over time. As disclosed vulnerabilities grow, resource-constrained organizations must prioritize which ones to patch. Existing...

The threat to critical infrastructure has changed. Has your readiness?

Critical infrastructure CI organizations underpin national security, public safety, and the economy. In 2026, the cyber threat landscape facing these sectors is structurally different than it was even two years ago. What Microsoft Threat Intelligence is observing across critical infrastructure...

Beers with Talos breaks down the 2025 Talos Year in Review

The Beers with Talos B team that's Hazel, Bill, Joe and Dave break down sometimes in the literal sense the 2025 Talos Year in Review which is available now. The team dives into the biggest cybersecurity trends of the year, including: The rapid weaponization of new vulnerabilities Why identity abu...

ProHunter APT Hunting Tool / Paper

Advanced Persistent Threats APTs remain difficult to detect due to their stealthy nature and long-term persistence. To tackle this challenge, provenance-based threat hunting has gained traction as a proactive defense mechanism. This technique models audit logs as a whole-system provenance graph a...

DeepXplain: XAI-Guided Autonomous Defense against Multi-Stage APT Campaigns

Advanced Persistent Threats APTs are stealthy, multi-stage attacks that require adaptive and timely defense. While deep reinforcement learning DRL enables autonomous cyber defense, its decisions are often opaque and difficult to trust in operational environments. This paper presents DeepXplain, a...

Game-Theoretic Modeling of Stealthy Intrusion Defense against MDP-Based Attackers

The rapid expansion of Internet use has increased system exposure to cyber threats, with advanced persistent threats APTs being especially challenging due to their stealth, prolonged duration, and multi-stage attacks targeting high-value assets. In this study, we model APT evolution as a strategi...

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs

Advanced Persistent Threats APTs are among the most challenging cyberattacks to detect. They are carried out by highly skilled attackers who carefully study their targets and operate in a stealthy, long-term manner. Because APTs exhibit "low-and-slow" behavior, traditional statistical methods and...

Techniques of Modern Attacks

The techniques used in modern attacks have become an important factor for investigation. As we advance further into the digital age, cyber attackers are employing increasingly sophisticated and highly threatening methods. These attacks target not only organizations and governments but also extend...

⚡ Weekly Recap: Firewall Exploits, AI Data Theft, Android Hacks, APT Attacks, Insider Leaks & More

Cyber threats last week showed how attackers no longer need big hacks to cause big damage. They're going after the everyday tools we trust most — firewalls, browser add-ons, and even smart TVs — turning small cracks into serious breaches. The real danger now isn't just one major attack, but...

Exploits and vulnerabilities in Q3 2025

In the third quarter, attackers continued to exploit security flaws in WinRAR, while the total number of registered vulnerabilities grew again. In this report, we examine statistics on published vulnerabilities and exploits, the most common security issues impacting Windows and Linux, and the...

An Explainable Recursive Feature Elimination to Detect Advanced Persistent Threats Using Random Forest Classifier

Intrusion Detection Systems IDS play a vital role in modern cybersecurity frameworks by providing a primary defense mechanism against sophisticated threat actors. In this paper, we propose an explainable intrusion detection framework that integrates Recursive Feature Elimination RFE with Random...

Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection

In this paper, we propose a novel hybrid deep learning architecture that synergistically combines Graph Neural Networks GNNs, Recurrent Neural Networks RNNs, and multi-head attention mechanisms to significantly enhance cybersecurity intrusion detection capabilities. By leveraging the comprehensiv...

A Decade-Long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends

An advanced persistent threat APT refers to a covert, long-term cyberattack, typically conducted by state-sponsored actors, targeting critical sectors and often remaining undetected for long periods. In response, collective intelligence from around the globe collaborates to identify and trace...

Cyberattackers Exploit Google Sheets for Malware Control in Likely Espionage Campaign

Cybersecurity researchers have uncovered a novel malware campaign that leverages Google Sheets as a command-and-control C2 mechanism. The activity, detected by Proofpoint starting August 5, 2024, impersonates tax authorities from governments in Europe, Asia, and the U.S., with the goal of targeti...

Malicious code in as-rest-api (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 00a576994460aeca57d9642938bbd4c214c2fc5138f9513388b070cb882fde29 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

2024 Cybersecurity Trends: What’s Observable Already?

2024 has already witnessed a staggering number of cyber incidents, with over 29.5 billion records breached across 4,645 publicly disclosed incidents in January alone, according to the IT Governance Security Spotlight. Moreover, CVEs are growing significantly year over year, with 13% growth from...

Advanced threat predictions for 2024

Advanced persistent threats APTs are the most dangerous threats, as they employ complex tools and techniques, and often are highly targeted and hard to detect. Amid the global crisis and escalating geopolitical confrontations, these sophisticated cyberattacks are even more dangerous, as there is...

APTs Overwhelmingly Share Known Vulnerabilities Rather Than Attack O-Days

Most advanced persistent threat groups APTs use known vulnerabilities in their attacks against organizations, suggesting the need to prioritize faster patching rather than chasing zero-day flaws as a more effective security strategy, new research has found. Security researchers at the University ...

Evaluation of cyber activities and the threat landscape in Ukraine

Introduction When the war in Ukraine broke out, many analysts were surprised to discover that what was simultaneously happening in the cyber domain did not match their predictions1. Since the beginning of the fighting, new cyberattacks taking place in Ukraine have been identified every week, whic...