Finding Web Application Vulnerabilities with an Ensemble Fuzzing

Autor: Iberia Medeiros, Joao Caseirito

Publikováno v: DSN (Supplements)

Cyberattacks have been a constant on the Internet and their impact and cost have risen to billions of dollars. They are usually associated with the exploitation of vulnerabilities in web applications, the most common form of accessing services and or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::edb08a5b532b63ca7b1f168ad9a0843e
https://doi.org/10.1109/dsn-s52858.2021.00020

Improving Web Application Vulnerability Detection Leveraging Ensemble Fuzzing

Autor: Joao Caseirito, Iberia Medeiros

Publikováno v: ENASE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f47d94896b257d916d083863c967461
https://doi.org/10.5220/0010484904050412

Towards a Deep Learning Model for Vulnerability Detection on Web Application Variants

Autor: Iberia Medeiros, Ana Fidalgo, Paulo Fernando Rocha Antunes, Nuno Neves

Publikováno v: ICST Workshops

Reported vulnerabilities have grown significantly over the recent years, with SQL injection (SQLi) being one of the most prominent, especially in web applications. For these, such increase can be explained by the integration of multiple software part

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3f5dd0596da1786b84e15c0e91fc947
https://doi.org/10.1109/icstw50294.2020.00083

Impact of Coding Styles on Behaviours of Static Analysis Tools for Web Applications

Autor: Iberia Medeiros, Nuno Neves

Publikováno v: DSN (Supplements)

Web applications have become an essential resource to access the services of diverse subjects (e.g., financial, healthcare) available on the Internet. Despite the efforts that have been made on its security, namely on the investigation of better tech

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d18d9aaf44fe8df244c677540a2a134
https://doi.org/10.1109/dsn-s50200.2020.00030

ECML PKDD 2020 Workshops

Autor: Zbigniew W. Ras, João Gama, Elio Masciari, Ricard Gavaldà, Giuseppe Manco, Peter Christen, Iberia Medeiros, Özlem Özgöbek, Jon Atle Gulla, Riccardo Guidotti, Pedro M. Ferreira, Andreas Lommatzsch, Eirini Ntoutsi, Corrado Loglisci, Donato Malerba, Linara Adilova, Arthur Zimek, Annalisa Appice, Michelangelo Ceci, Anna Monreale, Rita P. Ribeiro, Luiza Antonie, Albrecht Zimmermann, Erich Schubert, Przemyslaw Biecek, Yamuna Krishnamurthy, Irena Koprinska, Benjamin Kille, Salvatore Rinzivillo, Michael Kamp

Publikováno v: Communications in Computer and Information Science ISBN: 9783030659646
Koprinska, I (ed.), Kamp, M (ed.), Appice, A (ed.), Loglisci, C (ed.), Antonie, L (ed.), Zimmermann, A, Guidotti, R (ed.), Özgöbek, Ö (ed.), Ribeiro, R P (ed.), Gavaldà, R (ed.), Gama, J (ed.), Adilova, L (ed.), Krishnamurthy, Y (ed.), Ferreira, P M (ed.), Malerba, D (ed.), Medeiros, I (ed.), Ceci, M (ed.), Manco, G (ed.), Masciari, E (ed.), Ras, Z W (ed.), Christen, P (ed.), Ntoutsi, E, Schubert, E, Zimek, A (ed.), Monreale, A (ed.), Biecek, P (ed.), Rinzivillo, S (ed.), Kille, B (ed.), Lommatzsch, A (ed.) & Gulla, J A (ed.) 2020, ECML PKDD 2020 Workshops : Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings . Communications in Computer and Information Science, vol. 1323, Springer . https://doi.org/10.1007/978-3-030-65965-3
2021, ⟨10.1007/978-3-030-65965-3⟩

This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf391354967bda51aab782f5cdb7e6b
https://doi.org/10.1007/978-3-030-65965-3