Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning
This paper addresses a significant gap in Autonomous Cyber Operations (ACO) literature:
the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It …
the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It …
Hardening Active Directory Graphs via Evolutionary Diversity Optimization based Policies
Active Directory (AD) is the default security management system for Windows domain
networks. An AD environment can be described as a cyber-attack graph, with nodes …
networks. An AD environment can be described as a cyber-attack graph, with nodes …
Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions
Quality Diversity (QD) aims to evolve a population of solutions that are both diverse and of
high quality. The Map-Elites QD approach partitions the search space according to a feature …
high quality. The Map-Elites QD approach partitions the search space according to a feature …
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential
The main goal of diversity optimization is to find a diverse set of solutions which satisfy some
lower bound on their fitness. Evolutionary algorithms (EAs) are often used for such tasks …
lower bound on their fitness. Evolutionary algorithms (EAs) are often used for such tasks …
Runtime Analysis of Evolutionary Diversity Optimization on a Tri-Objective Version of the (LeadingOnes, TrailingZeros) Problem
Diversity optimization is a class of optimization problems in which we aim to find a diverse
set of good solutions. One of the frequently used approaches to solve such problems is to …
set of good solutions. One of the frequently used approaches to solve such problems is to …
Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
The diversity optimization is the class of optimization problems, in which we aim at finding a
diverse set of good solutions. One of the frequently used approaches to solve such problems …
diverse set of good solutions. One of the frequently used approaches to solve such problems …
Evolutionary Diversity Optimisation for Combinatorial Problems
A Nikfarjam - 2023 - digital.library.adelaide.edu.au
Diversity optimisation explores a variety of solutions for the intended problem and is rapidly
growing and getting more popular within the evolutionary computation community as a …
growing and getting more popular within the evolutionary computation community as a …