Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems

Handling imbalanced data with concept drift by applying dynamic sampling and ensemble classification model

(2020) S. Ancy et al.   COMPUTER COMMUNICATIONS

Machine learning based solutions for security of Internet of Things (IoT): A survey

(2020) Syeda Manjia Tahsien et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Energy Efficiency in Security of 5G-Based IoT: An End-to-End Adaptive Approach

(2020) Hamed Hellaoui et al.   IEEE Internet of Things Journal

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

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

HEDGE: Efficient Traffic Classification of Encrypted and Compressed Packets

(2019) Fran Casino et al.   IEEE Transactions on Information Forensics and Security

Semi-supervised learning based distributed attack detection framework for IoT

(2018) Shailendra Rathore et al.   APPLIED SOFT COMPUTING

Network traffic classification based on transfer learning

(2018) Guanglu Sun et al.   COMPUTERS & ELECTRICAL ENGINEERING

An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things

(2018) Nour Moustafa et al.   IEEE Internet of Things Journal

A survey of intrusion detection in Internet of Things

(2017) Bruno Bogaz Zarpelão et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A Survey on semi-supervised feature selection methods

(2017) Razieh Sheikhpour et al.   PATTERN RECOGNITION

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Detection and classification of peer-to-peer traffic

(2013) João V. Gomes et al.   ACM COMPUTING SURVEYS

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR FILTER BASED FEATURE SELECTION IN CLASSIFICATION

(2013) BING XUE et al.   International Journal on Artificial Intelligence Tools

An empirical study of morphing on behavior-based network traffic classification

(2013) Buyun Qu et al.   Security and Communication Networks

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING