Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …

Botnets, which are networks formed by malware-compromised machines, have become a
serious threat to the Internet. Such networks have been created to conduct large-scale …

This paper investigates graph neural networks (GNNs) applied for self-supervised intrusion
and anomaly detection in computer networks. GNNs are a deep learning approach for graph …

We present a new protocol for two-party private set intersection (PSI) with semi-honest
security in the plain model and one-sided malicious security in the random oracle model …

Private set intersection (PSI) allows two parties to compute the intersection of their sets
without revealing any information about items that are not in the intersection. It is one of the …

The Botnets have become one of the most serious threats to cyber infrastructure. Most
existing work on detecting botnets is based on flow-based traffic analysis by mining their …

Identifying threats contained within encrypted network traffic poses a unique set of
challenges. It is important to monitor this traffic for threats and malware, but do so in a way …

Large scale data processing brings new challenges to the design of privacy-preserving
protocols: how to meet the increasing requirements of speed and throughput of modern …

Protocols for secure computation enable parties to compute a joint function on their private
inputs without revealing anything but the result. A foundation for secure computation is …

Network traffic monitoring and analysis-related research has struggled to scale for massive
amounts of data in real time. Some of the vertical scaling solutions provide good …