On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples

Towards a deep learning-driven intrusion detection approach for Internet of Things

(2021) Mengmeng Ge et al.   Computer Networks

A new machine learning-based method for android malware detection on imbalanced dataset

(2021) Diyana Tehrany Dehkordy et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Hybrid random forest and synthetic minority over sampling technique for detecting internet of things attacks

(2021) M. Ganesh Karthik et al.   Journal of Ambient Intelligence and Humanized Computing

On learning effective ensembles of deep neural networks for intrusion detection

(2021) F. Folino et al.   Information Fusion

A Softwarized Intrusion Detection System for the RPL-based Internet of Things networks

(2021) George Violettas et al.   Future Generation Computer Systems-The International Journal of eScience

A NSGA2-LR wrapper approach for feature selection in network intrusion detection

(2020) Chaouki Khammassi et al.   Computer Networks

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks

(2020) Shuokang Huang et al.   Ad Hoc Networks

Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE

(2020) Salima Smiti et al.   INFORMATION SYSTEMS FRONTIERS

Deep learning methods in network intrusion detection: A survey and an objective comparison

(2020) Sunanda Gamage et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

Data-Limited Modulation Classification With a CVAE-Enhanced Learning Model

(2020) Xuefei Ji et al.   IEEE COMMUNICATIONS LETTERS

CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems

(2020) Sungho Suh et al.   NEURAL NETWORKS

Improving classification accuracy using data augmentation on small data sets

(2020) Francisco J. Moreno-Barea et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intelligent Condition-Based Monitoring of Rotary Machines With Few Samples

(2020) Sonal Dixit et al.   IEEE SENSORS JOURNAL

A deep learning approach for proactive multi-cloud cooperative intrusion detection system

(2019) Adel Abusitta et al.   Future Generation Computer Systems-The International Journal of eScience

An efficient feature selection based Bayesian and Rough set approach for intrusion detection

(2019) Mahendra Prasad et al.   APPLIED SOFT COMPUTING

HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning

(2019) Ying Zhong et al.   Computer Networks

Application of deep reinforcement learning to intrusion detection for supervised problems

(2019) Manuel Lopez-Martin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders

(2019) Mehran Pesteie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Semi-supervised learning based distributed attack detection framework for IoT

(2018) Shailendra Rathore et al.   APPLIED SOFT COMPUTING

Hierarchical architecture and protocol for mobile object authentication in the context of IoT smart cities

(2018) Maha Saadeh et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Service composition approaches in IoT: A systematic review

(2018) Parvaneh Asghari et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Current research on Internet of Things (IoT) security: A survey

(2018) Mardiana binti Mohamad Noor et al.   Computer Networks

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

(2017) Manuel Lopez-Martin et al.   SENSORS

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

(2016) Anna L. Buczak et al.   IEEE Communications Surveys and Tutorials

Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

(2016) Mohammed A. Ambusaidi et al.   IEEE TRANSACTIONS ON COMPUTERS

Detection of known and unknown DDoS attacks using Artificial Neural Networks

(2016) Alan Saied et al.   NEUROCOMPUTING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Anomaly-based network intrusion detection: Techniques, systems and challenges

(2008) P. García-Teodoro et al.   COMPUTERS & SECURITY

Random-Forests-Based Network Intrusion Detection Systems

(2008) Jiong Zhang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE