Recipe. Robust and efficient traffic classification in IP nEtworks

Network Traffic Classification Using Feature Selection and Parameter Optimization . Jie Cao 1,2, Zhiyi Fang , Dan Zhang1, and Guannan Qu . 1 College of Computer Science and Technology Jilin University, Changchun, 130012, P.R. China . 2 College of Information Engineering Northeast Dianli University, Jilin, 132012, P.R. China Robust Network Design for Roadway Networks: Unifying Framework and Application Digital Object Identifier 10.1109/MITS.2014.2386654 Date of publication: 20 April 2015 Agop Koulakezian Department of Electrical and Computer Engineering, University of Toronto E-mail: [email protected] Hossam Abdelgawad

In IP/Optical networks discovering, capturing, and accurately visualizing the combined topology and interconnection points of the network, from layer 0 to 3, has been a significant challenge to

Robust Smartphone App Identification Via Encrypted Network Traffic Analysis Vincent F. Taylor, Riccardo Spolaor, Mauro Conti and Ivan Martinovic Abstract—The apps installed on a smartphone can reveal much information about a user, such as their medical conditions, sexual orientation, or religious beliefs. Additionally, the presence

Available Traces Network traces which are available for the research community are libpcap consistent. Traces have been collected and organized with the support of the RECIPE (Robust and Efficient traffic Classification in IP nEtworks), MIMOSA (MIsure sperimentali e MOdelli di traffico dati multiServizio A pacchetto), NAPAWINE (Network-Aware P2P-TV Application over Wise Networks), and MONORE RECIPE: Robust and Efficient Classification of IP nEtwork traffic (2007-2009) Sponsored in part by Italian Ministry for University and Research (MIUR) Robust traffic classification, with applications to the classification of encrypted traffic. SmartPay (2007-2010) Sponsored by Imunant srl. Novel architectures for secure mobile transactions

Single Platform”, RECIPE Robust and Efficient traffic Classification in IP nEtworks , Fridericiana Editrice Universitaria, pp.1-16, ISBN: 978-88-833-8081-5, Napoli, ...