SEADer: A Social Engineering Attack Detection method based on Natural Language Processing and Artificial Neural Networks

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publication11th International Conference, ICCCI 2019, Proceedings
EditorsNgoc-Thanh Nguyen, Richard Chbeir, Ernesto Exposito, Philippe Aniorte, Bogdan Trawiński
PublisherSpringer International Publishing
ISBN (Print)9783030283735
DOIs
Publication statusPublished - 4 Oct 2019
Event11th International Conference on Computational Collective Intelligence, ICCCI 2019 - Hendaye , France
Duration: 4 Sep 20196 Sep 2019
Conference number: 11
http://iccci.sigappfr.org

Publication series

NameLecture notes in Artificial Intelligence
PublisherSpringer
ISSN (Print)0302-9743

Conference

Conference11th International Conference on Computational Collective Intelligence, ICCCI 2019
Abbreviated titleICCCI
CountryFrance
CityHendaye
Period4/09/196/09/19
Internet address

Bibliographical note

The final authenticated version is
available online at https://doi.org/10.1007/978-3-030-28374-2

Keywords

  • Social Engineering
  • Attack Detection
  • Online Chat Environments
  • Natural Language Processing
  • Neural Networks
  • Cybersecurity

Cite this

Lansley, M., Polatidis, N., & Kapetanakis, S. (2019). SEADer: A Social Engineering Attack Detection method based on Natural Language Processing and Artificial Neural Networks. In N-T. Nguyen, R. Chbeir, E. Exposito, P. Aniorte, & B. Trawiński (Eds.), Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Proceedings (Lecture notes in Artificial Intelligence). Springer International Publishing. https://doi.org/10.1007/978-3-030-28374-2