Learning Marked Markov Modulated Poisson Processes for Online Predictive Analysis of Attack Scenarios. Carnevali, L., Santoni, F., & Vicario, E. In Wolter, K., Schieferdecker, I., Gallina, B., Cukier, M., Natella, R., Ivaki, N. R., & Laranjeiro, N., editors, 30th IEEE International Symposium on Software Reliability Engineering, ISSRE 2019, Berlin, Germany, October 28-31, 2019, pages 195–205, 2019. IEEE.
Learning Marked Markov Modulated Poisson Processes for Online Predictive Analysis of Attack Scenarios [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/issre/CarnevaliSV19,
    author = "Carnevali, Laura and Santoni, Francesco and Vicario, Enrico",
    editor = "Wolter, Katinka and Schieferdecker, Ina and Gallina, Barbara and Cukier, Michel and Natella, Roberto and Ivaki, Naghmeh Ramezani and Laranjeiro, Nuno",
    title = "Learning Marked Markov Modulated Poisson Processes for Online Predictive Analysis of Attack Scenarios",
    booktitle = "30th {IEEE} International Symposium on Software Reliability Engineering, {ISSRE} 2019, Berlin, Germany, October 28-31, 2019",
    pages = "195--205",
    publisher = "{IEEE}",
    year = "2019",
    url = "https://doi.org/10.1109/ISSRE.2019.00028",
    doi = "10.1109/ISSRE.2019.00028",
    timestamp = "Mon, 28 Dec 2020 11:31:03 +0100",
    biburl = "https://dblp.org/rec/conf/issre/CarnevaliSV19.bib",
    bibsource = "dblp computer science bibliography, https://dblp.org"
}

Downloads: 0