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Tanja Zseby
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- affiliation: TU Wien, Vienna, Austria
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2020 – today
- 2025
- [j39]Félix Iglesias Vázquez, Henrique O. Marques, Arthur Zimek, Tanja Zseby:
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy. Data Min. Knowl. Discov. 39(1): 1-59 (2025) - 2024
- [j38]Bernhard Brenner, Joachim Fabini, Magnus Offermanns, Sabrina Semper, Tanja Zseby:
Malware communication in smart factories: A network traffic data set. Comput. Networks 255: 110804 (2024) - [j37]Félix Iglesias Vázquez, Tanja Zseby:
Temporal silhouette: validation of stream clustering robust to concept drift. Mach. Learn. 113(4): 2067-2091 (2024) - [c60]Lisa-Marie Geiginger, Tanja Zseby:
Evading Botnet Detection. SAC 2024: 1331-1340 - [c59]Félix Iglesias, Conrado Martínez, Tanja Zseby:
Impact of the Neighborhood Parameter on Outlier Detection Algorithms. SISAP 2024: 88-96 - [i21]Alexander Hartl, Félix Iglesias Vázquez, Tanja Zseby:
SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis. CoRR abs/2409.02973 (2024) - 2023
- [j36]Friederich Kupzog, Joachim Fabini, Tanja Zseby:
Communications for Energy Systems. Elektrotech. Informationstechnik 140(5): 417-418 (2023) - [j35]Félix Iglesias Vázquez, Alexander Hartl, Tanja Zseby, Arthur Zimek:
Anomaly detection in streaming data: A comparison and evaluation study. Expert Syst. Appl. 233: 120994 (2023) - [c58]Félix Iglesias, Tanja Zseby, Alexander Hartl, Arthur Zimek:
SDOclust: Clustering with Sparse Data Observers. SISAP 2023: 185-199 - [c57]Alexander Hartl, Félix Iglesias, Tanja Zseby:
dSalmon: High-Speed Anomaly Detection for Evolving Multivariate Data Streams. VALUETOOLS 2023: 153-169 - 2022
- [j34]Fares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby:
Modeling data with observers. Intell. Data Anal. 26(3): 785-803 (2022) - [c56]Alexander Hartl, Joachim Fabini, Tanja Zseby:
Separating Flows in Encrypted Tunnel Traffic. ICMLA 2022: 609-616 - 2021
- [j33]Félix Iglesias, Tanja Zseby, Arthur Zimek:
Clustering refinement. Int. J. Data Sci. Anal. 12(4): 333-353 (2021) - [c55]Alexander Hartl, Joachim Fabini, Christoph Roschger, Peter Eder-Neuhauser, Marco Petrovic, Roman Tobler, Tanja Zseby:
Subverting Counter Mode Encryption for Hidden Communication in High-Security Infrastructures. ARES 2021: 78:1-78:11 - [c54]Joachim Fabini, Alexander Hartl, Fares Meghdouri, Claudia Breitenfellner, Tanja Zseby:
SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories. ARES 2021: 148:1-148:11 - [c53]Fares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby:
Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic. ICDM (Workshops) 2021: 798-804 - [i20]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
A flow-based IDS using Machine Learning in eBPF. CoRR abs/2102.09980 (2021) - 2020
- [j32]Gernot Vormayr, Joachim Fabini, Tanja Zseby:
Why are My Flows Different? A Tutorial on Flow Exporters. IEEE Commun. Surv. Tutorials 22(3): 2064-2103 (2020) - [j31]Félix Iglesias, Tanja Zseby, Arthur Zimek:
Absolute Cluster Validity. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2096-2112 (2020) - [c52]Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Explainability and Adversarial Robustness for RNNs. BigDataService 2020: 148-156 - [c51]Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby:
SparseIDS: Learning Packet Sampling with Reinforcement Learning. CNS 2020: 1-9 - [c50]Fares Meghdouri, Maximilian Bachl, Tanja Zseby:
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection. CSNet 2020: 1-7 - [c49]Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek:
Interpretability and Refinement of Clustering. DSAA 2020: 21-29 - [c48]Fares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby:
Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection. DSAA 2020: 469-478 - [c47]Alexander Hartl, Félix Iglesias, Tanja Zseby:
SDOstream: Low-Density Models for Streaming Outlier Detection. ESANN 2020: 661-666 - [c46]Fares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby:
Anomaly Detection for Mixed Packet Sequences. LCN Symposium 2020: 120-130 - [c45]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning. LCN 2020: 417-420 - [c44]Félix Iglesias, Denis Ojdanic, Alexander Hartl, Tanja Zseby:
MDCStream: Stream Data Generator for Testing Analysis Algorithms. VALUETOOLS 2020: 56-63 - [i19]Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby:
SparseIDS: Learning Packet Sampling with Reinforcement Learning. CoRR abs/2002.03872 (2020) - [i18]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning. CoRR abs/2007.02735 (2020) - [i17]Fares Meghdouri, Maximilian Bachl, Tanja Zseby:
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection. CoRR abs/2007.13444 (2020) - [i16]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Optimizing Congestion Control Through Fair Queuing Detection. CoRR abs/2010.08362 (2020)
2010 – 2019
- 2019
- [j30]Félix Iglesias, Tanja Zseby, Daniel C. Ferreira, Arthur Zimek:
MDCGen: Multidimensional Dataset Generator for Clustering. J. Classif. 36(3): 599-618 (2019) - [j29]Félix Iglesias, Jelena Milosevic, Tanja Zseby:
Fuzzy classification boundaries against adversarial network attacks. Fuzzy Sets Syst. 368: 20-35 (2019) - [j28]Félix Iglesias, Tanja Zseby:
Pattern Discovery in Internet Background Radiation. IEEE Trans. Big Data 5(4): 467-480 (2019) - [j27]Peter Eder-Neuhauser, Tanja Zseby, Joachim Fabini:
Malware propagation in smart grid networks: metrics, simulation and comparison of three malware types. J. Comput. Virol. Hacking Tech. 15(2): 109-125 (2019) - [c43]Alexander Hartl, Tanja Zseby, Joachim Fabini:
BeaconBlocks: Augmenting Proof-of-Stake with On-Chain Time Synchronization. Blockchain 2019: 353-360 - [c42]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Cocoa: Congestion Control Aware Queuing. BS 2019: 1:1-1:7 - [c41]Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby:
Walling up Backdoors in Intrusion Detection Systems. Big-DAMA@CoNEXT 2019: 8-13 - [c40]Maximilian Bachl, Tanja Zseby, Joachim Fabini:
Rax: Deep Reinforcement Learning for Congestion Control. ICC 2019: 1-6 - [c39]Daniel C. Ferreira, Félix Iglesias Vázquez, Tanja Zseby:
Extreme Dimensionality Reduction for Network Attack Visualization with Autoencoders. IJCNN 2019: 1-10 - [c38]Félix Iglesias, Alexander Hartl, Tanja Zseby, Arthur Zimek:
Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms. PKDD/ECML Workshops (2) 2019: 159-175 - [i15]Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby:
Walling up Backdoors in Intrusion Detection Systems. CoRR abs/1909.07866 (2019) - [i14]Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Cocoa: Congestion Control Aware Queuing. CoRR abs/1910.10604 (2019) - [i13]Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby:
Explainability and Adversarial Robustness for RNNs. CoRR abs/1912.09855 (2019) - 2018
- [j26]Tanja Zseby:
Cyber-Physical Systems - Security. Elektrotech. Informationstechnik 135(3): 249 (2018) - [j25]Peter Eder-Neuhauser, Tanja Zseby, Joachim Fabini:
Malware propagation in smart grid monocultures. Elektrotech. Informationstechnik 135(3): 264-269 (2018) - [j24]Alexander Hartl, Robert Annessi, Tanja Zseby:
Subliminal Channels in High-Speed Signatures. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 9(1): 30-53 (2018) - [c37]Sarita Paudel, Paul Smith, Tanja Zseby:
Stealthy Attacks on Smart Grid PMU State Estimation. ARES 2018: 16:1-16:10 - [c36]Robert Annessi, Joachim Fabini, Tanja Zseby:
To Trust or Not to Trust: Data Origin Authentication for Group Communication in 5G Networks. ARES 2018: 43:1-43:7 - [c35]Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek:
Outlier Detection Based on Low Density Models. ICDM Workshops 2018: 970-979 - [c34]Davor Frkat, Robert Annessi, Tanja Zseby:
ChainChannels: Private Botnet Communication Over Public Blockchains. iThings/GreenCom/CPSCom/SmartData 2018: 1244-1252 - [e2]Pedro Casas, Marco Mellia, Alberto Dainotti, Tanja Zseby:
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA@SIGCOMM 2018, Budapest, Hungary, August 20, 2018. ACM 2018, ISBN 978-1-4503-5904-7 [contents] - [i12]Robert Annessi, Joachim Fabini, Félix Iglesias, Tanja Zseby:
Encryption is Futile: Delay Attacks on High-Precision Clock Synchronization. CoRR abs/1811.08569 (2018) - 2017
- [j23]Johanna Ullrich, Tanja Zseby, Joachim Fabini, Edgar R. Weippl:
Network-Based Secret Communication in Clouds: A Survey. IEEE Commun. Surv. Tutorials 19(2): 1112-1144 (2017) - [j22]Gernot Vormayr, Tanja Zseby, Joachim Fabini:
Botnet Communication Patterns. IEEE Commun. Surv. Tutorials 19(4): 2768-2796 (2017) - [j21]Evangelia Xypolytou, Joachim Fabini, Wolfgang Gawlik, Tanja Zseby:
The FUSE testbed: establishing a microgrid for smart grid security experiments. Elektrotech. Informationstechnik 134(1): 30-35 (2017) - [j20]Félix Iglesias Vázquez, Robert Annessi, Tanja Zseby:
Analytic Study of Features for the Detection of Covert Timing Channels in NetworkTraffic. J. Cyber Secur. Mobil. 6(3): 225-270 (2017) - [c33]Félix Iglesias, Tanja Zseby:
Are Network Covert Timing Channels Statistical Anomalies? ARES 2017: 81:1-81:9 - [c32]Robert Annessi, Tanja Zseby, Joachim Fabini:
A New Direction for Research on Data Origin Authentication in Group Communication. CANS 2017: 515-525 - [c31]Alexander Hartl, Robert Annessi, Tanja Zseby:
A Subliminal Channel in EdDSA: Information Leakage with High-Speed Signatures. MIST@CCS 2017: 67-78 - [c30]Félix Iglesias, Valentin Bernhardt, Robert Annessi, Tanja Zseby:
Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic. CD-MAKE 2017: 105-122 - [c29]Sarita Paudel, Paul Smith, Tanja Zseby:
Attack Models for Advanced Persistent Threats in Smart Grid Wide Area Monitoring. SPSR-SG@CPSWeek 2017: 61-66 - [c28]Christian Krieg, Clifford Wolf, Axel Jantsch, Tanja Zseby:
Toggle MUX: How X-Optimism Can Lead to Malicious Hardware. DAC 2017: 7:1-7:6 - [c27]Robert Annessi, Joachim Fabini, Tanja Zseby:
It's about Time: Securing Broadcast Time Synchronization with Data Origin Authentication. ICCCN 2017: 1-11 - [c26]Evangelia Xypolytou, Tanja Zseby, Joachim Fabini, Wolfgang Gawlik:
Detection and mitigation of cascading failures in interconnected power systems. ISGT Europe 2017: 1-6 - [c25]Daniel C. Ferreira, Félix Iglesias Vázquez, Gernot Vormayr, Maximilian Bachl, Tanja Zseby:
A Meta-Analysis Approach for Feature Selection in Network Traffic Research. Reproducibility@SIGCOMM 2017: 17-20 - [i11]Robert Annessi, Joachim Fabini, Tanja Zseby:
SecureTime: Secure Multicast Time Synchronization. CoRR abs/1705.10669 (2017) - 2016
- [j19]Peter Eder-Neuhauser, Tanja Zseby, Joachim Fabini:
Resilience and Security: A Qualitative Survey of Urban Smart Grid Architectures. IEEE Access 4: 839-848 (2016) - [j18]Félix Iglesias, Tanja Zseby:
Time-activity footprints in IP traffic. Comput. Networks 107: 64-75 (2016) - [j17]Félix Iglesias, Robert Annessi, Tanja Zseby:
DAT detectors: uncovering TCP/IP covert channels by descriptive analytics. Secur. Commun. Networks 9(15): 3011-3029 (2016) - [j16]Tanja Zseby, Félix Iglesias Vázquez, Alistair King, Kimberly C. Claffy:
Teaching Network Security With IP Darkspace Data. IEEE Trans. Educ. 59(1): 1-7 (2016) - [j15]Tanja Zseby, Félix Iglesias Vázquez, Valentin Bernhardt, Davor Frkat, Robert Annessi:
A Network Steganography Lab on Detecting TCP/IP Covert Channels. IEEE Trans. Educ. 59(3): 224-232 (2016) - [j14]Joachim Fabini, Tanja Zseby:
The Right Time: Reducing Effective End-to-End Delay in Time-Slotted Packet-Switched Networks. IEEE/ACM Trans. Netw. 24(4): 2251-2263 (2016) - [c24]Sarita Paudel, Paul Smith, Tanja Zseby:
Data Integrity Attacks in Smart Grid Wide Area Monitoring. ICS-CSR 2016 - [c23]Pedro Casas, Alessandro D'Alconzo, Tanja Zseby, Marco Mellia:
Big-DAMA: Big Data Analytics for Network Traffic Monitoring and Analysis. LANCOMM@SIGCOMM 2016: 1-3 - 2015
- [j13]Félix Iglesias, Tanja Zseby:
Entropy-Based Characterization of Internet Background Radiation. Entropy 17(1): 74-101 (2015) - [j12]Joachim Fabini, Tanja Zseby, Michael Hirschbichler:
Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks. EAI Endorsed Trans. Energy Web 2(6): e5 (2015) - [j11]Félix Iglesias, Tanja Zseby:
Analysis of network traffic features for anomaly detection. Mach. Learn. 101(1-3): 59-84 (2015) - [c22]Joachim Fabini, Tanja Zseby:
M2M communication delay challenges: Application and measurement perspectives. I2MTC 2015: 1859-1864 - 2014
- [j10]Tanja Zseby, Joachim Fabini, Dipika Rani:
Synchrophasor communication. Elektrotech. Informationstechnik 131(1): 8-13 (2014) - [j9]Tanja Zseby, Joachim Fabini:
Security Challenges for Wide Area Monitoring in Smart Grids. Elektrotech. Informationstechnik 131(3): 105-111 (2014) - [j8]Pedro Casas, Alessandro D'Alconzo, Pierdomenico Fiadino, Arian Bär, Alessandro Finamore, Tanja Zseby:
When YouTube Does not Work - Analysis of QoE-Relevant Degradation in Google CDN Traffic. IEEE Trans. Netw. Serv. Manag. 11(4): 441-457 (2014) - [c21]Félix Iglesias, Tanja Zseby:
Modelling IP darkspace traffic by means of clustering techniques. CNS 2014: 166-174 - [c20]Tanja Zseby, Nevil Brownlee, Alistair King, kc claffy:
Nightlights: Entropy-Based Metrics for Classifying Darkspace Traffic Patterns. PAM 2014: 275-277 - [c19]Joachim Fabini, Tanja Zseby, Michael Hirschbichler:
Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks. VALUETOOLS 2014 - 2013
- [c18]Tanja Zseby, Alistair King, Nevil Brownlee, Kimberly C. Claffy:
The Day after Patch Tuesday: Effects Observable in IP Darkspace Traffic. PAM 2013: 273-275 - [i10]Salvatore D'Antonio, Tanja Zseby, Christian Henke, Lorenzo Peluso:
Flow Selection Techniques. RFC 7014: 1-33 (2013) - 2012
- [j7]Tanja Zseby, kc claffy:
Workshop report: darkspace and unsolicited traffic analysis (DUST 2012). Comput. Commun. Rev. 42(5): 49-53 (2012) - [c17]Tanja Zseby:
Is IPv6 Ready for the Smart Grid? CyberSecurity 2012: 157-164 - 2011
- [c16]Tanja Zseby, Thomas Zinner, Kurt Tutschku, Yuval Shavitt, Phuoc Tran-Gia, Christian Schwartz, Albert Rafetseder, Christian Henke, Carsten Schmoll:
Multipath Routing Slice Experiments in Federated Testbeds. Future Internet Assembly 2011: 247-258 - [c15]Thomas Zinner, Dominik Klein, Kurt Tutschku, Tanja Zseby, Phuoc Tran-Gia, Yuval Shavitt:
Performance of concurrent multipath transmissions - Measurements and model validation. NGI 2011: 1-8 - [c14]Thomas Zinner, Kurt Tutschku, Tanja Zseby:
MultiNext - Measuring concurrent multipath transmissions in an experimental facility. NGI 2011: 1-2 - [c13]Christian Henke, Robert Wuttke, Tanja Zseby, Konrad Campowsky:
On Creating Overlay Routing Topologies between Heterogeneous Experimental Facilities. TRIDENTCOM 2011: 162-171 - 2010
- [j6]Jens Tiemann, Mikhail Smirnov, Tanja Zseby:
Assessment - Ein Ansatz zur Evaluierung selbstorganisierender Systeme. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 27 (2010) - [j5]Tanja Zseby, Michael Kleis, Thomas Hirsch:
Kooperationsstrategien für Netzwerkmanagement im Internet der Zukunft. Inform. Spektrum 33(2): 160-170 (2010) - [c12]Tacio Santos, Christian Henke, Carsten Schmoll, Tanja Zseby:
Multi-hop packet tracking for experimental facilities. SIGCOMM 2010: 447-448 - [c11]Tanja Zseby, Christian Henke, Michael Kleis:
Packet Tracking in PlanetLab Europe - A Use Case. TRIDENTCOM 2010: 265-274 - [c10]Carsten Schmoll, Christian Henke, Dirk Hoffstadt, Abbas Ali Siddiqui, Thomas Magedanz, Paul Müller, Erwin P. Rathgeb, Tanja Zseby:
G-Lab Deep: Cross-Layer Composition and Security for a Flexible Future Internet. TRIDENTCOM 2010: 594-596 - [e1]Tanja Zseby, Reijo Savola, Marco Pistore:
Future Internet - FIS 2009, Second Future Internet Symposium, FIS 2009, Berlin, Germany, September 1-3, 2009. Lecture Notes in Computer Science 6152, Springer 2010, ISBN 978-3-642-14955-9 [contents]
2000 – 2009
- 2009
- [c9]Tanja Zseby, Thomas Hirsch, Michael Kleis, Radu Popescu-Zeletin:
Towards a Future Internet: Node Collaboration for Autonomic Communication. Future Internet Assembly 2009: 123-135 - [c8]Christian Henke, Carsten Schmoll, Tanja Zseby:
Empirical Evaluation of Hash Functions for PacketID Generation in Sampled Multipoint Measurements. PAM 2009: 197-206 - [p2]Tanja Zseby, Heiko Pfeffer, Stephan Steglich:
Concepts for Self-Protection. Autonomic Computing and Networking 2009: 355-380 - [i9]Tanja Zseby, Thomas Hirsch:
With Joint Forces - Establishing Situation Awareness for the Future Internet. ERCIM News 2009(77) (2009) - [i8]Tanja Zseby, Elisa Boschi, Nevil Brownlee, Benoit Claise:
IP Flow Information Export (IPFIX) Applicability. RFC 5472: 1-31 (2009) - [i7]Tanja Zseby, Maurizio Molina, Nick G. Duffield, Saverio Niccolini, Frederic Raspall:
Sampling and Filtering Techniques for IP Packet Selection. RFC 5475: 1-46 (2009) - [i6]Elisa Boschi, Brian Trammell, Lutz Mark, Tanja Zseby:
Exporting Type Information for IP Flow Information Export (IPFIX) Information Elements. RFC 5610: 1-20 (2009) - [i5]Brian Trammell, Elisa Boschi, Lutz Mark, Tanja Zseby, Arno Wagner:
Specification of the IP Flow Information Export (IPFIX) File Format. RFC 5655: 1-64 (2009) - 2008
- [j4]Christian Henke, Carsten Schmoll, Tanja Zseby:
Empirical evaluation of hash functions for multipoint measurements. Comput. Commun. Rev. 38(3): 39-50 (2008) - [j3]Tanja Zseby, Michael Kleis, Thomas Hirsch:
Self-Protecting Networks - How Cooperation Strategies Can Strengthen Network Security (Selbstschützende Netze - Netzwerksicherheit durch Kooperation). it Inf. Technol. 50(6): 390-396 (2008) - [c7]Tanja Zseby, Thomas Hirsch, Benoit Claise:
Packet Sampling for Flow Accounting: Challenges and Limitations. PAM 2008: 61-71 - [c6]Christian Henke, Carsten Schmoll, Tanja Zseby:
Evaluation of Header Field Entropy for Hash-Based Packet Selection. PAM 2008: 82-91 - [i4]Lothar Braun, Torsten Braun, Georg Carle, Falko Dressler, Anja Feldmann, Dirk Haage, Tobias Limmer, Tanja Zseby:
08102 Working Group -- Measurement Requirements. Network Attack Detection and Defense 2008 - [i3]Richard A. Kemmerer, Roland Büschkes, Ali Fessi, Hartmut König, Peter Herrmann, Stephen D. Wolthusen, Marko Jahnke, Hervé Debar, Ralph Holz, Tanja Zseby, Dirk Haage:
08102 Outcome Working Group -- Situational Awareness. Network Attack Detection and Defense 2008 - 2007
- [c5]Michael Kleis, Thomas Hirsch, Tanja Zseby:
Network Immunity: What can we Learn from Nature for Network Protection? BIONETICS 2007: 283-286 - [c4]Brian Trammell, Elisa Boschi, Lutz Mark, Tanja Zseby:
Requirements for a Standardized Flow Storage Solution. SAINT Workshops 2007: 84 - 2006
- [j2]Elisa Boschi, Spyros G. Denazis, Tanja Zseby:
A measurement framework for inter-domain SLA validation. Comput. Commun. 29(6): 703-716 (2006) - 2005
- [b1]Tanja Zseby:
Statistical sampling for non intrusive measurements in IP networks. Berlin Institute of Technology, 2005 - [p1]Tanja Zseby:
Multicast. The Industrial Information Technology Handbook 2005: 1-10 - 2004
- [i2]Jürgen Quittek, Tanja Zseby, Benoit Claise, Sebastian Zander:
Requirements for IP Flow Information Export (IPFIX). RFC 3917: 1-33 (2004) - 2002
- [i1]Tanja Zseby, Sebastian Zander, Georg Carle:
Policy-Based Accounting. RFC 3334: 1-44 (2002) - 2001
- [c3]Georg Carle, Sebastian Zander, Tanja Zseby:
Policy-basiertes Metering für IP-Netze. Kommunikation in Verteilten Systemen 2001: 21-34
1990 – 1999
- 1999
- [c2]Georg Carle, Tanja Zseby, Adam Wolisz:
Lastabhängige Tarifierung von IP Multicast-Diensten mit Dienstgüteunterstützung. Kommunikation in Verteilten Systemen 1999: 58-71 - [c1]Georg Carle, Felix Hartanto, Mikhail Smirnov, Tanja Zseby:
Charging and Accounting for QoS-Enhanced IP Multicast. Protocols for High-Speed Networks 1999: 151-168 - 1998
- [j1]Georg Carle, Henning Sanneck, Dorgham Sisalem, Mikhail Smirnov, Adam Wolisz, Tanja Zseby:
Dienstqualitätsunterstützung für Audio- und Videodienste im Internet. Prax. Inf.verarb. Kommun. 21(3): 131-135 (1998)
Coauthor Index
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