Publicaciones en las que colabora con JESÚS ESTEBAN DÍAZ VERDEJO (23)

2016

  1. A Model for Incident Tickets Correlation in Network Management

    Journal of Network and Systems Management, Vol. 24, Núm. 1, pp. 57-91

2014

  1. Monitorización y selección de incidentes en seguridad de redes mediante EDA

    RECSI XIII: actas de la XIII Reunión Española sobre Criptología y Seguridad de la Información. Alicante, 2-5 de septiembre de 2014

  2. Tackling the big data 4 vs for anomaly detection

    Proceedings - IEEE INFOCOM

2010

  1. Defense techniques for low-rate DoS attacks against application servers

    Computer Networks, Vol. 54, Núm. 15, pp. 2711-2727

2009

  1. Anomaly detection in P2P networks using Markov modelling

    1st International Conference on Advances in P2P Systems, AP2PS 2009

  2. Anomaly-based network intrusion detection: Techniques, systems and challenges

    Computers and Security, Vol. 28, Núm. 1-2, pp. 18-28

  3. Environmental security in P2P networks

    1st International Conference on Advances in P2P Systems, AP2PS 2009

  4. Fraud in roaming scenarios: An overview

    IEEE Wireless Communications, Vol. 16, Núm. 6, pp. 88-94

  5. Mathematical model for low-rate dos attacks against application servers

    IEEE Transactions on Information Forensics and Security, Vol. 4, Núm. 3, pp. 519-529

2008

  1. A deterministic crowding evolutionary algorithm for optimization of a knn-based anomaly intrusion detection system

    Frontiers in Artificial Intelligence and Applications, Vol. 177, Núm. 1, pp. 111-120

  2. Evaluation of a low-rate DoS attack against application servers

    Computers and Security, Vol. 27, Núm. 7-8, pp. 335-354

  3. LoRDAS: A low-rate DoS attack against application servers

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2006

  1. Assessment of a vulnerability in iterative servers enabling low-rate DoS attacks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)