Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI and MTD Approaches to Security Solutions

AH Abdi, L Audah, A Salh, MA Alhartomi… - IEEE …, 2024 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a groundbreaking technology that has transformed
network management significantly. By integrating data and control, SDN offers unparalleled …

[HTML][HTML] A survey on moving target defense: Intelligently affordable, optimized and self-adaptive

R Sun, Y Zhu, J Fei, X Chen - Applied Sciences, 2023 - mdpi.com
Represented by reactive security defense mechanisms, cyber defense possesses a static,
reactive, and deterministic nature, with overwhelmingly high costs to defend against ever …

Detecting and mitigating DDoS attacks with moving target defense approach based on automated flow classification in SDN networks

MA Ribeiro, MSP Fonseca, J de Santi - Computers & Security, 2023 - Elsevier
Abstract The Distributed Denial of Service (DDoS) coordinates synchronized attacks on
systems on the Internet using a set of infected hosts (bots). Bots are programmed to attack a …

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey

N Abdi, A Albaseer, M Abdallah - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As smart grids (SGs) increasingly rely on advanced technologies like sensors and
communication systems for efficient energy generation, distribution, and consumption, they …

DL-2P-DDoSADF: Deep learning-based two-phase DDoS attack detection framework

M Mittal, K Kumar, S Behal - Journal of Information Security and …, 2023 - Elsevier
In today's tech-driven world, while Internet-based applications drive social progress, their
architectural weaknesses, inadequate security measures, lack of network segmentation …

Moving target defense approach for secure relay selection in vehicular networks

EM Ghourab, S Naser, S Muhaidat, L Bariah… - Vehicular …, 2024 - Elsevier
Ensuring the security and reliability of cooperative vehicle-to-vehicle (V2V) communications
is an extremely challenging task due to the dynamic nature of vehicular networks as well as …

[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 …

A Survey on Cyber-Resilience Approaches for Cyber-Physical Systems

M Segovia-Ferreira, J Rubio-Hernan, A Cavalli… - ACM Computing …, 2024 - dl.acm.org
Concerns for the resilience of Cyber-Physical Systems (CPS) s in critical infrastructure are
growing. CPS integrate sensing, computation, control, and networking into physical objects …

Cyber-resilience approaches for cyber-physical systems

M Segovia-Ferreira, J Rubio-Hernan… - arXiv preprint arXiv …, 2023 - arxiv.org
Concerns for the resilience of Cyber-Physical Systems (CPS) in critical infrastructure are
growing. CPS integrate sensing, computation, control and networking into physical objects …

[HTML][HTML] IoDM: A study on a IoT-based organizational deception modeling with adaptive general-sum game competition

S Seo, D Kim - Electronics, 2022 - mdpi.com
Moving target defense (MTD) and decoy strategies, measures of active defense, were
introduced to secure both the proactive security and reactive adaptability of internet-of-things …