Toward proactive, adaptive defense: A survey on moving target defense

JH Cho, DP Sharma, H Alavizadeh… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Reactive defense mechanisms, such as intrusion detection systems, have made significant
efforts to secure a system or network for the last several decades. However, the nature of …

α-Rank: Multi-Agent Evaluation by Evolution

S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls… - Scientific reports, 2019 - nature.com
We introduce α-Rank, a principled evolutionary dynamics methodology, for the evaluation
and ranking of agents in large-scale multi-agent interactions, grounded in a novel dynamical …

Moving Target Defense‐Based Denial‐of‐Service Mitigation in Cloud Environments: A Survey

M Nguyen, S Debroy - Security and Communication Networks, 2022 - Wiley Online Library
With the increased frequency and intensity of denial‐of‐service (DoS) attacks on critical
cloud‐hosted services, resource adaptation schemes adopted by the cloud service …

Multi-stage attack graph security games: Heuristic strategies, with empirical game-theoretic analysis

TH Nguyen, M Wright, MP Wellman… - Proceedings of the 2017 …, 2017 - dl.acm.org
We study the problem of allocating limited security countermeasures to protect network data
from cyber-attacks, for scenarios modeled by Bayesian attack graphs. We consider multi …

Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes

Y Zhou, G Cheng, S Jiang, Y Zhao, Z Chen - Computers & Security, 2020 - Elsevier
Abstract Moving Target Defense (MTD) has emerged as a game changer to reverse the
asymmetric situation between attackers and defenders, and as one of the most effective …

Bounds and dynamics for empirical game theoretic analysis

K Tuyls, J Perolat, M Lanctot, E Hughes… - Autonomous Agents and …, 2020 - Springer
This paper provides several theoretical results for empirical game theory. Specifically, we
introduce bounds for empirical game theoretical analysis of complex multi-agent …

DDoS defense using MTD and SDN

J Steinberger, B Kuhnert, C Dietz, L Ball… - NOMS 2018-2018 …, 2018 - ieeexplore.ieee.org
Distributed large-scale cyber attacks targeting the availability of computing and network
resources still remains a serious threat. In order to limit the effects caused by those attacks …

DQ-MOTAG: deep reinforcement learning-based moving target defense against DDoS attacks

X Chai, Y Wang, C Yan, Y Zhao… - 2020 IEEE Fifth …, 2020 - ieeexplore.ieee.org
The rapid developments of mobile communication and wearable devices greatly improve
our daily life, while the massive entities and emerging services also make Cyber-Physical …

Adversarial deep reinforcement learning based adaptive moving target defense

T Eghtesad, Y Vorobeychik, A Laszka - … Park, MD, USA, October 28–30 …, 2020 - Springer
Moving target defense (MTD) is a proactive defense approach that aims to thwart attacks by
continuously changing the attack surface of a system (eg, changing host or network …

D3GF: A study on optimal defense performance evaluation of drone-type moving target defense through game theory

S Seo, H Moon, S Lee, D Kim, J Lee, B Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Based on the paradigm shift in modern warfare, ground forces conduct pilot operations of
wireless unmanned maneuvering systems, such as tactical drones, in the form of manned …