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A review of generative models in generating synthetic attack data for cybersecurity
The ability of deep learning to process vast data and uncover concealed malicious patterns
has spurred the adoption of deep learning methods within the cybersecurity domain …
has spurred the adoption of deep learning methods within the cybersecurity domain …
Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …
existing research on defense strategies and methodologies in adversarial attacks using …
Anomaly and intrusion detection using deep learning for software-defined networks: A survey
Abstract Software-Defined Networks (SDN) represent an adaptable paradigm for dealing
with network users' dynamic demands. Confidentiality, integrity, and availability are …
with network users' dynamic demands. Confidentiality, integrity, and availability are …
An unsupervised generative adversarial network system to detect ddos attacks in sdn
Network management is a crucial task to maintain modern systems and applications
running. Some applications have become vital for society and are expected to have zero …
running. Some applications have become vital for society and are expected to have zero …
Detecting and mitigating security anomalies in software-defined networking (SDN) using gradient-boosted trees and floodlight controller characteristics
Cutting-edge and innovative software solutions are provided to address network security,
network virtualization, and other network-related challenges in highly congested SDN …
network virtualization, and other network-related challenges in highly congested SDN …
Intrusion detection with federated learning and conditional generative adversarial network in satellite-terrestrial integrated networks
W Jiang, H Han, Y Zhang, J Mu, A Shankar - Mobile Networks and …, 2024 - Springer
Network intrusion detection is a challenging network security research topic, especially
when data privacy has become an increasing concern in satellite-terrestrial integrated …
when data privacy has become an increasing concern in satellite-terrestrial integrated …
Cyberattack defense mechanism using deep learning techniques in software-defined networks
DS Rao, AJ Emerson - International Journal of Information Security, 2024 - Springer
Software-defined networking (SDN) is a network architecture. It is becoming more popular
due to its centralized network administration, adaptability, and speed. However, the …
due to its centralized network administration, adaptability, and speed. However, the …
A survey of intelligent multimedia forensics for internet of things communications: Approaches, strategies, perspectives, and challenges for a sustainable future
W Ding, M Abdel-Basset, AM Ali, N Moustafa - Engineering Applications of …, 2024 - Elsevier
Digital forensics is a proven method for collecting, preserving, reporting, analyzing,
identifying, and presenting digital evidence from the original data, and it helps find evidence …
identifying, and presenting digital evidence from the original data, and it helps find evidence …
Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research …
Industry 5.0, which focuses on human and Artificial Intelligence (AI) collaboration for
performing different tasks in manufacturing, involves a higher number of robots, Internet of …
performing different tasks in manufacturing, involves a higher number of robots, Internet of …
Generative AI in Network Security and Intrusion Detection
SR Sindiramutty, KRV Prabagaran… - … With Generative AI …, 2025 - igi-global.com
Protecting virtual assets from cyber threats is essential as we live in a digitally advanced
world. Providing a responsible emphasis on proper network security and intrusion detection …
world. Providing a responsible emphasis on proper network security and intrusion detection …