Bayesian Network Tomography and Inference
<|reference_start|>Bayesian Network Tomography and Inference: The aim of this technical report is to give a short overview of known techniques for network tomography (introduced in the paper of Vardi (1996)), extended by a Bayesian approach originating Tebaldi and West (1998). Since the studies of A.K. Erlang (1878-1929) on telephone networks in the last millennium, lots of needs are seen in todays applications of networks and network tomography, so for instance networks are a critical component of the information structure supporting finance, commerce and even civil and national defence. An attack on a network can be performed as an intrusion in the network or as sending a lot of fault information and disturbing the network flow. Such attacks can be detected by modelling the traffic flows in a network, by counting the source destination packets and even by measuring counts over time and by drawing a comparison with this 'time series' for instance.<|reference_end|>
@article{pluch2007bayesian,
    title={Bayesian Network Tomography and Inference},
    author={Philipp Pluch, Samo Wakounig},
    journal={arXiv preprint arXiv:cs/0702125},
    year={2007},
    archivePrefix={arXiv},
    eprint={cs/0702125},
    primaryClass={cs.NI}
}