Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey

Synchronization Techniques in “Device to Device- and Vehicle to Vehicle-Enabled” Cellular Networks: A survey

(2021) Mahmoud Abbasi et al.   COMPUTERS & ELECTRICAL ENGINEERING

Machine Fault Detection for Intelligent Self-Driving Networks

(2020) Huakun Huang et al.   IEEE COMMUNICATIONS MAGAZINE

A deep learning method based on an attention mechanism for wireless network traffic prediction

(2020) Ming Li et al.   Ad Hoc Networks

Clustering objectives in wireless sensor networks: A survey and research direction analysis

(2020) Amin Shahraki et al.   Computer Networks

Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost

(2020) Amin Shahraki et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach

(2020) Jiangang Shu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

(2020) Amin Shahraki et al.   IEEE Transactions on Network and Service Management

Applications of Artificial Intelligence in Transport: An Overview

(2019) Rusul Abduljabbar et al.   Sustainability

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

A Multi-Level Deep Learning System for Malware Detection

(2019) Wei Zhong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Learning for Encrypted Traffic Classification: An Overview

(2019) Shahbaz Rezaei et al.   IEEE COMMUNICATIONS MAGAZINE

Deep packet: a novel approach for encrypted traffic classification using deep learning

(2019) Mohammad Lotfollahi et al.   SOFT COMPUTING

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

(2019) Shiqiang Wang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Deep Learning for Secure Mobile Edge Computing in Cyber-Physical Transportation Systems

(2019) Yuanfang Chen et al.   IEEE NETWORK

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

(2019) Giuseppe Aceto et al.   IEEE Transactions on Network and Service Management

A Survey on Big Data for Network Traffic Monitoring and Analysis

(2019) Alessandro D'Alconzo et al.   IEEE Transactions on Network and Service Management

A Hybrid Deep Learning-Based Model for Anomaly Detection in Cloud Datacenter Networks

(2019) Sahil Garg et al.   IEEE Transactions on Network and Service Management

Machine Learning-Based Link Fault Identification and Localization in Complex Networks

(2019) Srinikethan Madapuzi Srinivasan et al.   IEEE Internet of Things Journal

A dynamic MLP-based DDoS attack detection method using feature selection and feedback

(2019) Meng Wang et al.   COMPUTERS & SECURITY

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

(2019) Yuji Roh et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

(2018) Chuanting Zhang et al.   IEEE COMMUNICATIONS LETTERS

Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

(2018) Abebe Abeshu et al.   IEEE COMMUNICATIONS MAGAZINE

Self-Healing in Emerging Cellular Networks: Review, Challenges and Research Directions

(2018) Ahmad Asghar et al.   IEEE Communications Surveys and Tutorials

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

(2018) Mehdi Mohammadi et al.   IEEE Communications Surveys and Tutorials

A survey on network data collection

(2018) Donghao Zhou et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Deep learning to detect botnet via network flow summaries

(2018) Abdurrahman Pektaş et al.   NEURAL COMPUTING & APPLICATIONS

Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks

(2018) Laisen Nie et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers

(2018) Xiaofeng Cao et al.   IEEE Access

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

(2018) Wei Wang et al.   IEEE Access

Mobile Demand Forecasting via Deep Graph-Sequence Spatiotemporal Modeling in Cellular Networks

(2018) Luoyang Fang et al.   IEEE Internet of Things Journal

Exploiting IoT and big data analytics: Defining Smart Digital City using real-time urban data

(2018) M. Mazhar Rathore et al.   Sustainable Cities and Society

Urban Traffic Prediction from Mobility Data Using Deep Learning

(2018) Zhidan Liu et al.   IEEE NETWORK

Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis

(2018) Xu Wang et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

DataNet: Deep Learning based Encrypted Network Traffic Classification in SDN Home Gateway

(2018) Pan Wang et al.   IEEE Access

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification

(2018) Peng Li et al.   IEEE NETWORK

DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction

(2018) Jie Feng et al.   IEEE NETWORK

DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters

(2018) Zhuoran Zhao et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

Survey of machine learning techniques for malware analysis

(2018) Daniele Ucci et al.   COMPUTERS & SECURITY

A Survey on Fault Management in Software-Defined Networks

(2017) Paulo Cesar da Rocha Fonseca et al.   IEEE Communications Surveys and Tutorials

State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

(2017) Zubair Md. Fadlullah et al.   IEEE Communications Surveys and Tutorials

A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

(2017) Shikhar Verma et al.   IEEE Communications Surveys and Tutorials

I Know What You Saw Last Minute—Encrypted HTTP Adaptive Video Streaming Title Classification

(2017) Ran Dubin et al.   IEEE Transactions on Information Forensics and Security

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

(2017) Manuel Lopez-Martin et al.   IEEE Access

Recent Advances in Fault Localization in Computer Networks

(2016) Ayush Dusia et al.   IEEE Communications Surveys and Tutorials

The Development and Evaluation of a Dataset for Testing of IDS for Wireless Networks

(2016) Ed Wilson Tavares Ferreira et al.   IEEE Latin America Transactions

Mobile big data analytics using deep learning and apache spark

(2016) Mohammad Abu Alsheikh et al.   IEEE NETWORK

Virtualization layer security challenges and intrusion detection/prevention systems in cloud computing: a comprehensive review

(2016) Chirag N. Modi et al.   JOURNAL OF SUPERCOMPUTING

Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach

(2016) Fengli Xu et al.   IEEE Transactions on Services Computing

Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

(2016) Lo'ai A. Tawalbeh et al.   IEEE Access

Deep learning

(2015) Yann LeCun et al.   NATURE

Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges

(2015) Xiaofei Wang et al.   IEEE Access

Network monitoring: Present and future

(2014) Sihyung Lee et al.   Computer Networks

The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice

(2014) Rongpeng Li et al.   IEEE COMMUNICATIONS MAGAZINE

Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop

(2014) Jun Liu et al.   IEEE NETWORK

Challenges in 5G: how to empower SON with big data for enabling 5G

(2014) Ali Imran et al.   IEEE NETWORK

Big Data Deep Learning: Challenges and Perspectives

(2014) Xue-Wen Chen et al.   IEEE Access

Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey

(2013) Hesham ElSawy et al.   IEEE Communications Surveys and Tutorials

G-Hadoop: MapReduce across distributed data centers for data-intensive computing

(2012) Lizhe Wang et al.   Future Generation Computer Systems-The International Journal of eScience

A Survey on Machine-Learning Techniques in Cognitive Radios

(2012) Mario Bkassiny et al.   IEEE Communications Surveys and Tutorials

A Survey of Self Organisation in Future Cellular Networks

(2012) Osianoh Glenn Aliu et al.   IEEE Communications Surveys and Tutorials

Issues and future directions in traffic classification

(2012) Alberto Dainotti et al.   IEEE NETWORK

Broadband internet performance

(2011) Srikanth Sundaresan et al.   ACM SIGCOMM Computer Communication Review

Green Cellular Networks: A Survey, Some Research Issues and Challenges

(2011) Ziaul Hasan et al.   IEEE Communications Surveys and Tutorials