Data processing and networkmetrics

Members

Description

The networkmetrics research line seeks to take advantage of multivariate analysis and machine learning tools to tackle problems in communication networks, with cybersecurity as main example. An effective detection of cybersecurity incidents requires the combination of several and disparate data sources. This makes cybersec a typical Big Data problem, where the challenge is to handle tons of information from heterogeneous sources at a fastpace. In NESG, we develop new analysis methods to handle Multivariate Big Data, which are also of value in applications like IoT monitoring or Industry 4.0, and in other domains, like chemometrics, bioinformatics and personalized medicine.

Publications

• Goméz Hernández, J. A., Camacho, J., Holgado-Terriza, J. A., García-Teodoro, P. & Maciá-Fernández, G. (2021). ARANAC: A Bring-Your-Own-Permissions Network Access Control Methodology for Android Devices. IEEE Access, 9, 101321-101334,. [More] 
• Goméz Hernández, J. A., García-Teodoro, P., Holgado-Terriza, J. A., Maciá-Fernández, G., Camacho, J. & Noguera-Comino, J. M (2021). Monitoring Android Communications for Security. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 1-2. IEEE. [More] 
• Camacho, J., Bro, R. & Kotz, D. (2020). MBDA in Action. [More] 
• Camacho, J., Smilde, A. K., Sacc & Westerhuis, J. (2020). All Sparse PCS Models Are Wrong, But Some Are Useful. Part I. Computation Scores, Residuals and Explained Variance. Chemometrics and Intelligent Laboratory Systems, 196, 1039072-. [More] 
• Magán-Carrión, R., Camacho, J., Maciá-Fernández, G. & Ruiz-Zafra, A. (2020). MSNM-Sensor: An Effective Tool for Real-Time Monitoring and Anomaly Detection in Complex Networks and Systems. International Journal of Distributed Sensor Networks, . [More] 
• Camacho, J., Acar, J. & Rasmunssen, E. (2020). Cross-product Penalized Component Analysis (X-CAN). Chemometrics and Intelligent Laboratory Systems, . [More] 
• Camacho, J., Acar, E., Rasmussen, M. & Bro, R. (2019). X-CAN: Cross-Penalized Component Analysis. Scandinavian Symposium on Chemometrics (SSC16), . [More] 
• Camacho, J., Smilde, A. K., Saccenti, E. & Westerhuis, J. A. (2019). All sparse PCA models are wrong, but some are useful. Scandinavian Symposium on Chemometrics (SSC16), . [More] 
• Camacho, J., Smilde, A. K., Saccenti, E. & Westerhuis, J. A. (2019). All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance. arXiv Preprint. Retrieved from https://arxiv.org/abs/1907.03989. [More] 
• Camacho, J., Acar, E., Rasmussen, A. & Bro, R. (2019). Cross-product Penalized Component Analysis (XCAN). arXiv preprint. Retrieved from https://arxiv.org/abs/1907.00032. [More] 
• Camacho, J., Therón, R., García-Giménez, J. M., Maciá-Fernández, G. & García-Teodoro, P. (2019). Group-Wise Principal Component Analysis for Exploratory Intrusion Detection. IEEE Access, 7, 113081-113093. [More] 
• Fuentes-García, N. M., González-Martínez, J. M., Maciá-Fernández, G. & Camacho, J (2019). PARAMO: enhanced data Pre-processing in Batch Multivariate Statistical Process Control. In 16th Scandinavian Sysmposium on Chemometrics (SSC16)), pages 10. [More] 
• Fuentes-García, N. M., Camacho, J. & Maciá-Fernández, G (2019). Evaluación de mejoras en la monitorización estadística multivariante para la detección de anomalías en trafico ciclo-estacionario. In ́es Caro Lindo, A., ́ıa Villalba, L. J. & Orozco, A. L. (editors), V Jornadas Nacionales de Ciberseguridad, pages 277-278. [More] 
• Camacho, J., García-Giménez, J. M., Fuentes-García, N. M. & Maciá-Fernández, G. (2019). Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle. Computer &Security (COSE), 87, 11. [More] 
• Camacho, J., Smilde, A. K., Saccenti, E. & Westerhuis, J. A. (2019). All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance. Arxiv preprint. Retrieved from https://arxiv.org/abs/1907.03989. [More] 
• Camacho, J., Maciá-Fernández, G., Fuentes-García, N. M. & Saccenti, E. (2019). Semi-supervised Multivariate Statistical Network Monitoring for Learning Security Threats. IEEE Transactions on Information Forensics and Security, 14(8), 2179 - 2189. [More] 
• Goméz Hernández, J. A., Camacho, J., García-Teodoro, P., Maciá-Fernández, G., Robles Carrillo, M., Ropa, A. M. et al (2019). Visualización y Análisis de Tráfico Móvil para la Securización de Redes y Sistemas. In V Jornadas Nacionales de Ciberseguridad. Cáceres. [More] 
• Gonzalez-Martinez, Camacho, J. & Ferrer. (2018). MVBatch: A matlab toolbox for batch process modeling and monitoring. Chemometrics and Intelligent Laboratory Systems, 183, 122-133. [More] 
• Saccenti, E., Smilde, A. & Camacho, J. (2018). Group-wise ANOVA simultaneous component analysis for designed omics experiments. Metabolomics, 14(73). [More] 
• Fuentes-García, N. M., Maciá-Fernández, G. & Camacho, J. (2018). Evaluation of diagnosis methods in PCA-based Multivariate Statistical Process Control. Chemometrics and Intelligent Laboratory Systems, 172, 194-210. [More] 
• Suárez-Tangil, G., Dash, S. K., García-Teodoro, P., Camacho, J. & Cavallo, L. (2018). Anomaly-based Exploratory Analysis and Detection of Exploits in Android Mediaserver. IET Information Security, 12(5), 404-413. [More] 
• Maciá-Fernández, G., Camacho, J., Magán-Carrión, R., García-Teodoro, P. & Therón Sánchez, R. (2018). Ugr'16: a new dataset for the evaluation of cyclostationarity-based network IDSs. Computer & Security, 73, 411-424. [More] 
• Camacho, J. & Saccenti, E. (2018). Group-wise Partial Least Squares Regression. Journal of Chemometrics (Wiley), 32(3), 1:11. [More] 
• Tortorella, S., Camacho, J. & Cruciani, G. (2017). GPCA for improved multivariate analysis interpretation in lipidomics (poster), Barcelona, Spain. [More] 
• Tortorella, S., Camacho, J. & Cruciani, G. (2017). GPCA for improved multivariate analysis interpretation in lipidomics, Barcelona, Spain. [More] 
• Therón Sánchez, R., Magán-Carrión, R., Camacho, J. & Maciá-Fernández, G. (2017). Network-wide intrusion detection supported by multivariate analysis and interactive visualization, Phoenix, AZ, USA, IEEE, VizSec 2017. [More] 
• Magán-Carrión, R., Camacho, J., García-Teodoro, P., Flushing, E. F. & Caro, G. A. (2017). A Dynamical Relay node placement solution for MANETs. Computer Communications, 114, 36-50. [More] 
• Magán-Carrión, R., Camacho, J., Maciá-Fernández, G. & Fuentes-García, N. M (2017). Esquema Jerárquico de Monitorización y Detección de Anomalías en Red: Aplicación Práctica. In III Jornadas Nacionales de Investigación en Ciberseguridad (JNIC). [More] 
• Maciá-Fernández, G., Camacho, J., García-Teodoro, P. & Rodríguez-Gómez, R. A (2017). A review of: Hierarchical PCA-Based Multivariate Statistical Network Monitoring for Anomaly Detection. In. [More] 
• Fuentes-García, N. M., Camacho, J. & Maciá-Fernández, G (2017). Defending the network. Detection and Diagnosis of Anomalies. In. [More] 
• Fuentes-García, N. M., Maciá-Fernández, G. & Camacho, J (2017). A UNIVARIATE APPROACH FOR DIAGNOSIS IN PCA-MSPC. In Scandinavian Symposium on Chemometrics (SSC15). [More] 
• Camacho, J., Saccenti, E. & Therón, R (2017). GROUP-WISE PRINCIPAL COMPONENT ANALYSIS. In Scandinavian Symposium on Chemometrics (SSC15). [More] 
• Camacho, J., García-Teodoro, P. & Maciá-Fernández, G. (2017). Traffic Monitoring and Diagnosis with Multivariate Statistical Network Monitoring: A Case Study. IEEE Security & Privacy International Workshop on Traffic Measurements for Cybersecurity (WTMC 2017), . [More] 
• Camacho, J. (2017). On the Generation of Random Multivariate Data. Chemometrics and Intelligent Laboratory Systems, 160, 40 - 51. [More] 
• Camacho, J., Rodríguez-Gómez, R. A. & Saccenti, E. (2017). Group-wise Principal Component Analysis for Exploratory Data Analysis. Journal of Computational and Graphical Statistics, 26(3), 501-512. [More] 
• Maciá-Fernández, G., Camacho, J., García-Teodoro, P. & Rodríguez-Gómez, R. A (2016). Hierarchical PCA-Based Multivariate Statistical Network Monitoring for Anomaly Detection. In 8th IEEE International Workshop on Information Forensics and Security (WIFS), Abu Dhabi (UAE). [More] 
• Iturbe, M., Camacho, J., Garitano, I., Zurutuza, U. & Uribeetxeberria, R (2016). Distinguiendo entre perturbaciones de proceso e intrusiones en sistemas de control: caso de estudio con el proceso Tennessee-Eastman. In Reunión Española sobre Criptología y Seguridad de la Información (RECSI 2016). [More] 
• Magán-Carrión, R., García-Teodoro, P. & Camacho, J. (2016). Supervivencia en redes ad hoc. Mecanismos de tolerancia y reacción frente amenazas de seguridad.. Phd Thesis, Calle Periodista Rafael Gómez Montero, número 2 · E-18071 GRANADA (Spain). [More] 
• Camacho, J., Magán-Carrión, R., García-Teodoro, P. & Treinen, J. J. (2016). Networkmetrics: Multivariate Big Data Analysis in the Context of the Internet. Submitted to Journal of Chemometrics (Wiley), , 45. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P (2016). Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks. In (Extended summary) Submitted to II Jornadas Nacionales de Investigación en Ciberseguridad (JNIC2016), pages 2. [More] 
• Magán-Carrión, R., Camacho, J., García-Teodoro, P., Feo Flushing, E. & Di Caro, G. A (2016). DRNS: Dynamical Relay Node placement Solution.. In Accepted in 14th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). [More] 
• Magán-Carrión, R., Rodríguez-Gómez, R. A., Camacho, J. & García-Teodoro, P. (2016). Optimal Relay Placement in Multi-Hop Wireless Networks. Ad Hoc Networks (Elsevier), 46, 23-36. [More] 
• Camacho, J., Villegas, A. P., Rodríguez-Gómez, R. A. & Jiménez-Mañas, E. (2015). Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab. Chemometrics and Intelligent Laboratory Systems, 143, 49 - 57. [More] 
• Saccenti, E. & Camacho, J. (2015). Determining the number of components in principal components analysis: A comparison of statistical, crossvalidation and approximated methods. Chemometrics and Intelligent Laboratory Systems, 149, Part A, 99 - 116. [More] 
• Molina, J. M. (2015). Integración de soluciones de seguridad en redes MANET con NETA. Master Thesis. [More] 
• Casado, L. S., Maciá-Fernández, G., García-Teodoro, P. & Magán-Carrión, R. (2015). A Model of Data Forwarding in MANETs for Lightweight Detection of Malicious Packet Dropping. Computer Networks (Elsevier), 87, 44-58. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P. (2015). Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2015, 1-20. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P (2014). A Multiagent Self-healing System against Security Incidents in MANETs. In Workshop on Active Security through Multi-Agent Systems (WASMAS), 12th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2014), pages 321-332. Springer International Publishing. [More] 
• Casado, L. S., Magán-Carrión, R., García-Teodoro, P. & Verdejo, J. E (2014). Defenses Against Packet Dropping Attacks in Wireless Multihop Ad Hoc Networks, pages 377-400. CRC press. [More] 
• Casado, L. S., Rodríguez-Gómez, R. A., Magán-Carrión, R. & Maciá-Fernández, G (2013). NETA: un Framework para Simular y Evaluar Ataques en Redes Heterogéneas. MANETs como Caso de Estudio. In XI Jornadas de Ingeniería Telemática (JITEL 2013), pages 487-492. [More] 
• Casado, L. S., Rodríguez-Gómez, R. A., Magán-Carrión, R. & Maciá-Fernández, G (2013). NETA: Evaluating the effects of NETwork Attacks. MANETs as a case study. In Advances in Security of Information and Communication Networks, (SecNet 2013), pages 1-10. Springer Berlin Heidelberg. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P (2013). A Security Response Approach Based on the Deployment of Mobile Agents: Limitations and Improvements. In XI Jornadas de Ingeniería Telemática (JITEL 2013), pages 445-452. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P (2013). A Security Response Approach based on the Deployment of Mobile Agents: A Practical Vision. In 11th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2013), pages 308-311. Springer Berlin Heidelberg. [More] 
• Magán-Carrión, R., Camacho, J. & García-Teodoro, P (2013). A Security Response Approach based on the Deployment of Mobile Agents. In 11th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2013), pages 182-191. Springer Berlin Heidelberg. [More] 
• Magán-Carrión, R., Pulido, F. P., Camacho, J. & García-Teodoro, P. (2013). Tampered Data Recovery in WSNs through Dynamic PCA and Variable Routing Strategies. ICCNS - Journal of Communications, 8(11), 738-750. [More] 
• Magán-Carrión, R., García-Teodoro, P. & Camacho, J (2012). Supervivencia en redes de sensores mediante técnicas multivariantes. In 12th Reunión Española sobre Criptología y Seguridad de la Información (RECSI 2012), pages 315-320. [More]