A Privacy-Preserving Graph Neural Network for Network Intrusion Detection
With the ever-growing attention on communication security, machine learning-based
network intrusion detection system (NIDS) is widely utilized to meet different security …
network intrusion detection system (NIDS) is widely utilized to meet different security …
Securing Layers: The Synergy of Mix Networks and Shamir's Secret Sharing in Onion Routing
AV Jambha, D Swetchana, K Sushrutha… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
In the contemporary digital landscape, where online privacy and security face escalating
challenges due to evolving cyber threats, this investigation uncovers vulnerabilities within …
challenges due to evolving cyber threats, this investigation uncovers vulnerabilities within …
ENNigma: Uma Biblioteca para Redes Neuronais Privadas
PMB Barbosa - 2023 - recipp.ipp.pt
The increasing concerns about data privacy and the stringent enforcement of data protection
laws are placing growing pressure on organizations to secure large datasets. The challenge …
laws are placing growing pressure on organizations to secure large datasets. The challenge …
Lightweight Collaborative Inferencing for Real-Time Intrusion Detection in IoT Networks
The security in Internet-of-Things (IoT) networks becomes increasingly important with the
growing popularity of IoT devices and their wide applications (eg, critical infrastructure …
growing popularity of IoT devices and their wide applications (eg, critical infrastructure …