Machine Learning for Networking: First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers

Description

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection; Optimization and new innovative machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks. Front Matter ....Pages i-xiii Learning Concave-Convex Profiles of Data Transport over Dedicated Connections (Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster)....Pages 1-22 Towards Analysing Cooperative Intelligent Transport System Security Data (Brice Leblanc, Emilien Bourdy, Hacène Fouchal, Cyril de Runz, Secil Ercan)....Pages 23-32 Towards a Statistical Approach for User Classification in Twitter (Kheir Eddine Daouadi, Rim Zghal Rebaï, Ikram Amous)....Pages 33-43 RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks (Qinliang Lin, Zhibo Gong, Qiaoling Wang, Jinlong Li)....Pages 44-55 Building a Wide-Area File Transfer Performance Predictor: An Empirical Study (Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian Foster)....Pages 56-78 Advanced Hybrid Technique in Detecting Cloud Web Application’s Attacks (Meryem Amar, Mouad Lemoudden, Bouabid El Ouahidi)....Pages 79-97 Machine-Learned Classifiers for Protocol Selection on a Shared Network (Hamidreza Anvari, Jesse Huard, Paul Lu)....Pages 98-116 Common Structures in Resource Management as Driver for Reinforcement Learning: A Survey and Research Tracks (Yue Jin, Dimitre Kostadinov, Makram Bouzid, Armen Aghasaryan)....Pages 117-132 Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations (Nicolás Viveros Barrera, Octavio José Salcedo Parra, Lewys Correa Sánchez)....Pages 133-145 Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls (Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson)....Pages 146-165 Malware Detection System Based on an In-Depth Analysis of the Portable Executable Headers (Mohamed Belaoued, Bouchra Guelib, Yasmine Bounaas, Abdelouahid Derhab, Mahmoud Boufaida)....Pages 166-180 DNS Traffic Forecasting Using Deep Neural Networks (Diego Madariaga, Martín Panza, Javier Bustos-Jiménez)....Pages 181-192 Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks (Basem Abid, Sarra Messai, Hamida Seba)....Pages 193-211 Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks (Ujjwal Peshin, Tanay Jha, Shivam Kantival)....Pages 212-221 LSTM Recurrent Neural Network (RNN) for Anomaly Detection in Cellular Mobile Networks (S. M. Abdullah Al Mamun, Mehmet Beyaz)....Pages 222-237 Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data (Khadoudja Ghanem)....Pages 238-246 Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks (Redha Mili, Salim Chikhi)....Pages 247-256 Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting (Giuseppe Nebbione, Derek Doran, Srikanth Nadella, Brandon Minnery)....Pages 257-269 The Comment of BBS: How Investor Sentiment Affects a Share Market of China (Xuanlong Weng, Yin Luo, Jianbo Gao, Haishan Feng, Ke Huang)....Pages 270-278 A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge (Hasseeb Azzawi, Jingyu Hou, Russul Alanni, Yong Xiang)....Pages 279-293 Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization (Rishabh Yadav, Yogesh Kumar Rana, Sushama Nagpal)....Pages 294-306 Game Theory Model for Intrusion Prevention in Computer Networks (Julián Francisco Mojica Sánchez, Octavio José Salcedo Parra, Miguel J. Espitia R.)....Pages 307-320 A Survey: WSN Heterogeneous Architecture Platform for IoT (Naila Bouchemal, Sondes Kallel, Nardjes Bouchemal)....Pages 321-332 An IoT Framework for Detecting Movement Within Indoor Environments (Kevin Curran, Gary Mansell, Jack Curran)....Pages 333-340 A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles (Salima Bella, Assia Belbachir, Ghalem Belalem)....Pages 341-363 Detecting Suspicious Transactions in IoT Blockchains for Smart Living Spaces (Mayra Samaniego, Ralph Deters)....Pages 364-377 Intelligent ERP Based Multi Agent Systems and Cloud Computing (Nardjes Bouchemal, Naila Bouchemal)....Pages 378-386 Back Matter ....Pages 387-388