13 papers
Secrets Best Not Shared: DNS Privacy Enhancements for the Constrained IoT
Martine S. Lenders, Thomas C. Schmidt, Matthias Wählisch
Attackers often identify DNS traffic to disrupt or compromise Internet services. While prior work has focused on encrypting queries using DNS over TLS, HTTPS, or QUIC to counter su…
Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
Jannik Presberger, Alexander Männel, Maynard Koch +3
Understanding activities of Internet scanners is challenging; it often requires identifying relationships between sources, a task for which semantic annotations are scarce. This wo…
LZn : Robust LoRa Frame Synchronization Under Frame Collisions and Ultra-Low SNR Conditions
José Ãlamos, Thomas C. Schmidt, Matthias Wählisch
LoRa has become a widely adopted wireless modulation scheme in LPWANs due to its low cost, long range, and minimal transmission power. However, collisions between frames of the sam…
Adaptive Learning Mechanisms for Learning Management Systems: A Scoping Review and Practical Considerations
Sebastian Kucharski, Iris Braun, Gregor Damnik +1
Background: Traditional Learning Management Systems (LMS) usually offer a one-size-fits-all solution that cannot be customized to meet specific learner needs. To address this issue…
A Leaner and Faster Web: How CBOR Can Improve Dynamic Content Encoding in JSON and DNS over HTTPS
Martine S. Lenders, Carsten Bormann, Thomas C. Schmidt +1
The Internet community has taken major efforts to decrease latency in the World Wide Web. Significant improvements have been achieved in accelerating content transport and in compr…
Scanning the IPv6 Internet Using Subnet-Router Anycast Probing
Maynard Koch, Raphael Hiesgen, Marcin Nawrocki +2
Identifying active IPv6 addresses is challenging. Various methods emerged to master the measurement challenge in this huge address space, including hitlists, new probing techniques…