The Network Traffic Measurement and Analysis Conference (TMA) aims to be a highly selective venue for presenting both mature and early-stage research – as well as controversial work – on all aspects of measurement and analysis of network traffic. TMA conference has a strong tradition of open and lively interaction among scientists and engineers in academia and industry, and serves as a premier forum to exchange ideas, and present advances over the state-of-the-art in measurements of Internet traffic on all layers, as well as in measurement and analysis techniques.

TMA 2024 invites submissions presenting concepts, experiences, and of course results in collection, processing, analysis and visualization of network traffic data to enable traffic classification, anomaly detection, performance enhancement, monitoring, management, security, privacy or other uses of network data. The focus is on improving network measurements across the entire network stack up to application layers, with an emphasis on diverse areas of network communication such as data centers, satellite networks, mobile networks, IoT devices as well as devices connected to multiple networks. 

To further encourage the results’ faithfulness and avoid publication bias, the conference will particularly encourage negative results revealed by novel measurement methods or vantage points. All regular papers are hence encouraged to discuss the limitations of the presented approaches and also mention which experiments did not work. Additionally, TMA will also be open to accepting papers that exclusively deal with negative results, especially when new measurement methods or perspectives offer insight into the limitations and challenges of network measurement in practice. Negative results will be evaluated based on their impact (e.g. revealed in realistic production networks) as well as the novelty of the vantage points (e.g. scarce data source) or measurement techniques that revealed them.

Topics of interest include, but are not limited to:

• Measurements of network performance and network topology
• Measurements of the deployment, performance, and security of Internet infrastructure including the use of the Internet Naming system
• Measurements of energy consumption of Internet infrastructure and data centers
• Measurement of the deployment and use of protocols (e.g. TCP, MPTCP, IPv6, HTTP/2, QUIC)
• Identification and classification of traffic, including encrypted and proprietary protocols
• Techniques for privacy preservation and anonymization of traffic measurements
• Traffic analysis for anomaly/vulnerability/attack detection, including measuring the economic/financial impact of cyber attacks
• Measurement and analysis of deployed techniques for censorship
• Application-layer measurements, including web services, social networks and  identity management systems
• Measurements of quality of service and quality of experience for audio/video streaming, video conferencing, virtual/augmented reality and gaming
• Use of artificial intelligence and machine learning in network measurement and analysis
• Visualization of measurement data including novel representations based on learning methods
• Measurements of data centers or cloud-based systems, Software-Defined Networks (SDN) and Virtual Network Functions (VNF)s
• Measurements of mobile and wireless traffic including devices with multiple network paths
• Measurements of satellite communication systems and impacts on performance
• Measurements of IoT devices, their traffic patterns as well as the use of protocols, and in home networks
• Measurements on testbeds, experimental networks, or prototype networks
• Platforms for measurement, troubleshooting, and management of operational networks
• Simulation and modeling for network measurements, analysis, and visualization
• Current and emerging regulatory frameworks for measurement, analysis,  privacy.
• Measurements of fragmentation as well as consolidation and centralization effect on the Internet
• Validation and repeatability of measurements, shared datasets, and measurement tools
• Negative results revealed by novel traffic measurements