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...

ShellGames: Speculative LLM-Driven SSH Deception

Cyber deception and Moving Target Defense are promising strategies that aim to disrupt adversaries by increasing uncertainty. However, sustaining long-lived, credible interactive sessions with adversaries remains an open challenge. Large Language Models LLMs offer a promising path toward more...

LLM: LSTM Look-Ahead Moving Target Defense Based on Historical Malicious Scan

Network scanning is a critical preliminary step for most adversaries to gain essential information before launching cyber attacks. Moving Target Defense MTD based on IP shuffling has emerged as a proactive defense strategy to counteract these reconnaissance efforts. Unlike static, reactive defens...

ShuffleV: A Microarchitectural Defense Strategy against Electromagnetic Side-Channel Attacks in Microprocessors

The run-time electromagnetic EM emanation of microprocessors presents a side-channel that leaks the confidentiality of the applications running on them. Many recent works have demonstrated successful attacks leveraging such side-channels to extract the confidentiality of diverse applications, suc...

From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense against DoS Attacks in UAV Swarm Networks

The proliferation of unmanned aerial vehicle UAV swarms has enabled a wide range of mission-critical applications, but also exposes UAV networks to severe Denial-of-Service DoS threats due to their open wireless environment, dynamic topology, and resource constraints. Traditional static or...

ADA: Automated Moving Target Defense for AI Workloads Via Ephemeral Infrastructure-Native Rotation in Kubernetes

This paper introduces the Adaptive Defense Agent ADA, an innovative Automated Moving Target Defense AMTD system designed to fundamentally enhance the security posture of AI workloads. ADA operates by continuously and automatically rotating these workloads at the infrastructure level, leveraging t...

Cybersecurity through Entropy Injection: a Paradigm Shift from Reactive Defense to Proactive Uncertainty

Cybersecurity often hinges on unpredictability, with a system's defenses being strongest when sensitive values and behaviors cannot be anticipated by attackers. This paper explores the concept of entropy injection-deliberately infusing randomness into security mechanisms to increase...

Improve security and simplify operations with Windows Defender Antivirus + Morphisec

My team at Morphisec a Microsoft Intelligent Security Association MISA partner often talks with security professionals who are well-informed about the latest cyberthreats and have a longterm security strategy. The problem many of them face is how to create a stronger endpoint stack with limited...

Researchers Reverse Engineer Dropbox

Researchers have cracked open cloud storage service Dropbox, reverse engineering the encryption protecting the client in order to open it up to further security analysis. The engineers, Dhiru Kholia of Openwall and Przemyslaw Wegrzyn of CodePainters, also managed to demonstrate how to use...