Schedule-Based Attack Against TSN TAS with Frame Preemption

Detecting Adversarial State Manipulation in In-Network Fast ReRoute Systems

High-speed programmable data planes provide opportunities to implement data-driven fast reroute systems that quickly adapt to varying network conditions (e.g., congestion, failures) and improve network performance. The core of these systems has packet-processing algorithms running in the data plane that continuously lo...

DDoS Defense Model on 5G Network Slices

A 5G network slicing intrusion detection mechanism, called the DDoS Defense Model on 5G Network Slices (2D5NS) which integrates machine learning and real-time traffic monitoring techniques to detect and mitigate DDoS attacks within an O-RAN is proposed.

TSD-DDoS: A time-series dataset for TCP flooding attack detection and severity assessment for server health monitoring

By offering structured, labelled, and time-indexed TCP traffic data, TSD-DDoS enables the development and evaluation of ML-based intrusion detection systems, time-sensitive server health monitoring tools, and adaptive resource management strategies.

XNET: Intelligent Dynamic Sampling for High-Speed Network Security Monitoring

This paper introduces XNET, a system that monitors traffic at line rate using commodity hardware and applies dynamic sampling to amplify the visibility of high security value traffic and demonstrates XNET's scalability up to 100Gbps.

On DoS Attacks Exploiting Input Representativeness in Mixed-Criticality Systems

Mitigation of DDoS Attacks in the Data Plane of Software-Defined Networking Using ML Techniques

Experimental evidence is provided that ML-based intrusion detection mechanisms can significantly enhance the resilience of SDNs to volumetric attacks and promote the implementation of adaptive and responsive security modules in SDN controllers, thereby increasing network resilience, particularly in large and dynamicall...