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Denoising Adversarial Autoencoder for Obfuscated Traffic Detection and Recovery2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.99-116, ⟨10.1007/978-3-030-45778-5_8⟩
Conference papers
hal-03266453v1
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A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.392-402, ⟨10.1007/978-3-030-45778-5_27⟩
Conference papers
hal-03266457v1
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Language Model Co-occurrence Linking for Interleaved Activity Discovery2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.70-84, ⟨10.1007/978-3-030-45778-5_6⟩
Conference papers
hal-03266465v1
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MLP4NIDS: An Efficient MLP-Based Network Intrusion Detection for CICIDS2017 Dataset2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.240-254, ⟨10.1007/978-3-030-45778-5_16⟩
Conference papers
hal-03266466v1
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Achieving Proportional Fairness in WiFi Networks via Bandit Convex Optimization2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.85-98, ⟨10.1007/978-3-030-45778-5_7⟩
Conference papers
hal-03266460v1
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An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.342-354, ⟨10.1007/978-3-030-45778-5_23⟩
Conference papers
hal-03266473v1
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GAMPAL: Anomaly Detection for Internet Backbone Traffic by Flow Prediction with LSTM-RNN2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.196-211, ⟨10.1007/978-3-030-45778-5_13⟩
Conference papers
hal-03266474v1
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Internet of Things: Security Between Challenges and Attacks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.444-460, ⟨10.1007/978-3-030-45778-5_31⟩
Conference papers
hal-03266469v1
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Algorithm Selection and Model Evaluation in Application Design Using Machine Learning2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.175-195, ⟨10.1007/978-3-030-45778-5_12⟩
Conference papers
hal-03266461v1
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Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.154-174, ⟨10.1007/978-3-030-45778-5_11⟩
Conference papers
hal-03266451v1
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Socially and Biologically Inspired Computing for Self-organizing Communications Networks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.461-484, ⟨10.1007/978-3-030-45778-5_32⟩
Conference papers
hal-03266455v1
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Scream to Survive(S2S): Intelligent System to Life-Saving in Disasters Relief2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.414-430, ⟨10.1007/978-3-030-45778-5_29⟩
Conference papers
hal-03266459v1
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Revealing User Behavior by Analyzing DNS Traffic2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.212-226, ⟨10.1007/978-3-030-45778-5_14⟩
Conference papers
hal-03266458v1
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A New Approach to Determine the Optimal Number of Clusters Based on the Gap Statistic2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.227-239, ⟨10.1007/978-3-030-45778-5_15⟩
Conference papers
hal-03266454v1
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Jason-RS, A Collaboration Between Agents and an IoT Platform2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.403-413, ⟨10.1007/978-3-030-45778-5_28⟩
Conference papers
hal-03266450v1
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Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.1-14, ⟨10.1007/978-3-030-45778-5_1⟩
Conference papers
hal-03266470v1
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Root Cause Analysis of Reduced Accessibility in 4G Networks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.117-133, ⟨10.1007/978-3-030-45778-5_9⟩
Conference papers
hal-03266468v1
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Arguments Against Using the 1998 DARPA Dataset for Cloud IDS Design and Evaluation and Some Alternative2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.315-332, ⟨10.1007/978-3-030-45778-5_21⟩
Conference papers
hal-03266464v1
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Network Traffic Classification Using Machine Learning for Software Defined Networks2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.28-39, ⟨10.1007/978-3-030-45778-5_3⟩
Conference papers
hal-03266452v1
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Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.255-272, ⟨10.1007/978-3-030-45778-5_17⟩
Conference papers
hal-03266471v1
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Association Rules Algorithms for Data Mining Process Based on Multi Agent System2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.431-443, ⟨10.1007/978-3-030-45778-5_30⟩
Conference papers
hal-03266467v1
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A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.40-57, ⟨10.1007/978-3-030-45778-5_4⟩
Conference papers
hal-03266472v1
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Emotion-Based Adaptive Learning Systems2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.273-286, ⟨10.1007/978-3-030-45778-5_18⟩
Conference papers
hal-03266463v1
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DeepRoute: Herding Elephant and Mice Flows with Reinforcement LearningMLN 2019 - 2nd International Conference on Machine Learning for Networking, Dec 2019, Paris, France. pp.296-314, ⟨10.1007/978-3-030-45778-5_20⟩
Conference papers
hal-03266462v1
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Bayesian Classifiers in Intrusion Detection Systems2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.379-391, ⟨10.1007/978-3-030-45778-5_26⟩
Conference papers
hal-03266456v1
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