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 …

[HTML][HTML] Anomaly detection and defense techniques in federated learning: a comprehensive review

C Zhang, S Yang, L Mao, H Ning - Artificial Intelligence Review, 2024 - Springer
In recent years, deep learning methods based on a large amount of data have achieved
substantial success in numerous fields. However, with increases in regulations for protecting …

Desolater: Deep reinforcement learning-based resource allocation and moving target defense deployment framework

S Yoon, JH Cho, DS Kim, TJ Moore… - IEEE …, 2021 - ieeexplore.ieee.org
The recent development of autonomous driving technologies has led to the proliferation of
research on sensors and electronic equipment inside a vehicle. To deal with security …

Blockchain-guided dynamic best-relay selection for trustworthy vehicular communication

EM Ghourab, M Azab, N Ezzeldin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Considering the highly dynamic nature of the vehicular environment and the delay-sensitive
wireless medium, enabling secure and reliable vehicle-to-vehicle communication becomes …

A review of moving target defense mechanisms for internet of things applications

N Saputro, S Tonyali, A Aydeger… - … and Design of …, 2020 - Wiley Online Library
The chapter presents a review of proactive Moving Target Defense (MTD) paradigm and
investigates the feasibility and potential of specific MTD approaches for the resource …

Blockchain-enabled moving target defense for secure cr networks

EM Ghourab, L Bariah, S Muhaidat… - 2022 International …, 2022 - ieeexplore.ieee.org
The ever-increasing demand for high-data services and the emergence of new use cases
with stringent latency, spectral, and energy efficiency requirements present new challenges …

Poster: Address shuffling based moving target defense for in-vehicle software-defined networks

S Yoon, JH Cho, DS Kim, TJ Moore, F Nelson… - The 25th Annual …, 2019 - dl.acm.org
As connected and autonomous vehicle technology evolves, the design of in-vehicle network
architecture, which connects multiple electronic control units (ECUs) and internal sensors …

Spatiotemporal diversification by moving-target defense through benign employment of false-data injection for dynamic, secure cognitive radio network

EM Ghourab, M Azab, A Mansour - Journal of Network and Computer …, 2019 - Elsevier
The future of wireless technology struggles to cope with information and resource exchange
among different users over various systems. Given the latest advances in Cognitive Radio …

Moving target defense for in-vehicle software-defined networking: IP shuffling in network slicing with multiagent deep reinforcement learning

S Yoon, JH Cho, DS Kim, TJ Moore… - … Learning for Multi …, 2020 - spiedigitallibrary.org
Moving target defense (MTD) is an emerging defense principle that aims to dynamically
change attack surface to confuse attackers. By dynamic reconfiguration, MTD intends to …

Interplay between physical layer security and blockchain technology for 5G and beyond: A comprehensive survey

EM Ghourab, W Jaafar, L Bariah, S Muhaidat… - Authorea …, 2023 - techrxiv.org
Fifth-generation and beyond (5G and xG) wireless networks are envisioned to meet the
requirements of vertical applications like high traffic throughput, ultra-massive connectivity …