Related references
Note: Only part of the references are listed.LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system
Neha Gupta et al.
COMPUTER NETWORKS (2021)
Cybersecurity threat intelligence knowledge exchange based on blockchain Proposal of a new incentive model based on blockchain and Smart contracts to foster the cyber threat and risk intelligence exchange of information
R. Riesco et al.
TELECOMMUNICATION SYSTEMS (2020)
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid
Zakaria El Mrabet et al.
2019 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT) (2019)
Deep Learning Approach for Intelligent Intrusion Detection System
R. Vinayakumar et al.
IEEE ACCESS (2019)
Real-time big data processing for anomaly detection: A Survey
Riyaz Ahamed Ariyaluran Habeeb et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda et al.
NEURAL NETWORKS (2018)
A High-Performance Intrusion Detection Method Based on Combining Supervised and Unsupervised Learning
Hanwen Wang et al.
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) (2018)
Distributed Intrusion Detection System for Cloud Environments based on Data Mining techniques
Mohamed Idhammad et al.
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2017) (2018)
On cloud security attacks: A taxonomy and intrusion detection and prevention as a service
Salman Iqbal et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)
Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods
Mahbod Tavallaee et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2010)
Share Paper
