index - Machine Learning for Networking

Table of Contents
Machine Learning for Networking. *Selma Boumerdassi, Eric Renault, Paul Muhlethaler*	Front Matter
Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model *Yang Chen, Junzhe Zhang, Chai Yeo*	1-14
Towards a Hierarchical Deep Learning Approach for Intrusion Detection *Francois Alin, Amine Chemchem, Florent Nolot, Olivier Flauzac, Michaël Krajecki*	15-27
Network Traffic Classification Using Machine Learning for Software Defined Networks *Menuka Perera Jayasuriya Kuranage, Kandaraj Piamrat, Salima Hamma*	28-39
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection *Anurag Das, Samuel Ajila, Chung-Horng Lung*	40-57
Q-routing: from the algorithm to the routing protocol *Alexis Bitaillou, Benoît Parrein, Guillaume Andrieux*	58-69
Language Model Co-occurrence Linking for Interleaved Activity Discovery *Eoin Rogers, John Kelleher, Robert Ross*	70-84
Achieving Proportional Fairness in WiFi Networks via Bandit Convex Optimization *Golshan Famitafreshi, Cristina Cano*	85-98
Denoising Adversarial Autoencoder for Obfuscated Traffic Detection and Recovery *Ola Salman, Imad Elhajj, Ayman Kayssi, Ali Chehab*	99-116
Root Cause Analysis of Reduced Accessibility in 4G Networks *Diogo Ferreira, Carlos Senna, Paulo Salvador, Luís Cortesão, Cristina Pires, Rui Pedro, Susana Sargento*	117-133
Space-time pattern extraction in alarm logs for network diagnosis *Achille Salaün, Anne Bouillard, Marc-Olivier Buob*	134-153
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses *Nageswara Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster*	154-174
Algorithm Selection and Model Evaluation in Application Design Using Machine Learning *Srikanth Bethu, B. Sankara Babu, K. Madhavi, P. Gopala Krishna*	175-195
GAMPAL: Anomaly Detection for Internet Backbone Traffic by Flow Prediction with LSTM-RNN *Taku Wakui, Takao Kondo, Fumio Teraoka*	196-211
Revealing User Behavior by Analyzing DNS Traffic *Martín Panza, Diego Madariaga, Javier Bustos-Jiménez*	212-226
A New Approach to Determine the Optimal Number of Clusters Based on the Gap Statistic *Jaekyung Yang, Jong-Yeong Lee, Myoungjin Choi, Yeongin Joo*	227-239
MLP4NIDS: An Efficient MLP-Based Network Intrusion Detection for CICIDS2017 Dataset *Arnaud Rosay, Florent Carlier, Pascal Leroux*	240-254
Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection *Mandlenkosi Gwetu, Jules-Raymond Tapamo, Serestina Viriri*	255-272
Emotion-Based Adaptive Learning Systems *Sai Taurah, Jeshta Bhoyedhur, Roopesh Sungkur*	273-286
Machine learning methods for anomaly detection in IoT networks, with illustrations *Vassia Bonandrini, Jean-François Bercher, Nawel Zangar*	287-295
DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning *Mariam Kiran, Bashir Mohammed, Nandini Krishnaswamy*	296-314
Arguments Against Using the 1998 DARPA Dataset for Cloud IDS Design and Evaluation and Some Alternative *Paulo Faria Quinan, Issa Traore, Isaac Woungang, Abdulaziz Aldribi, Onyekachi Nwamuo*	315-332
Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach *François Kasséné Gomis, Thierry Bouwmans, Mamadou Samba Camara, Idy Diop*	333-341
An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels *Dehao Wu, Maziar Nekovee, Yue Wang*	342-354
A Learning Approach for Road Traffic Optimization in Urban Environments *Ahmed Mejdoubi, Ouadoudi Zytoune, Hacene Fouchal, Mohamed Ouadou*	355-366
CSI based indoor localization using Ensemble Neural Networks *Abdallah Sobehy, Eric Renault, Paul Muhlethaler*	367-378
Bayesian Classifiers in Intrusion Detection Systems *Mardini-Bovea Johan, De-La-Hoz-Franco Emiro, Molina-Estren Diego, Paola Ariza-Colpas, Ortíz Andrés, Ortega Julio, César Cárdenas, Carlos Collazos-Morales*	379-391
A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks *Himanshu Gupta, Tanmay Kulkarni, Lov Kumar, Neti Murthy*	392-402
Jason-RS, A Collaboration Between Agents and an IoT Platform *Hantanirina Rafalimanana, Jean Razafindramintsa, Sylvain Cherrier, Thomas Mahatody, Laurent George, Victor Manantsoa*	403-413
Scream to Survive(S2S): Intelligent System to Life-Saving in Disasters Relief *Nardjes Bouchemal, Aissa Serrar, Yehya Bouzeraa, Naila Bouchmemal*	414-430
Association Rules Algorithms for Data Mining Process Based on Multi Agent System *Imane Belabed, Mohammed Talibi Alaoui, Jaara El Miloud, Abdelmajid Belabed*	431-443
Internet of Things: Security Between Challenges and Attacks *Benali Cherif, Zaidi Sahnoun, Maamri Ramdane, Bouchemal Nardjes*	444-460
Socially and Biologically Inspired Computing for Self-organizing Communications Networks *Juan Ospina, Joaquín Sánchez, Jorge Ortiz, Carlos Collazos-Morales, Paola Ariza-Colpas*	461-484

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