Get started
Keyword

CICIDS2017

Description: A cybersecurity dataset containing labeled benign and malicious network traffic for training and evaluating intrusion detection and attack classification methods.
OpenAlex ID: keywords/cicids2017
Deep Learning Approach for Intelligent Intrusion Detection System
2019 · R. Vinayakumar, Mamoun Alazab, et al. · IEEE Access · 1,959
PDF
Building an efficient intrusion detection system based on feature selection and ensemble classifier
2020 · Yuyang Zhou, Guang Cheng, et al. · Computer Networks · 679
PDF
CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
2020 · Kurniabudi, Deris Stiawan, et al. · IEEE Access · 453
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
2021 · Li Yang, Abdallah Moubayed, et al. · IEEE Internet of Things Journal · 424
PDF
CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System
2022 · Asmaa Halbouni, Teddy Surya Gunawan, et al. · IEEE Access · 420
PDF
Deep learning methods in network intrusion detection: A survey and an objective comparison
2020 · Sunanda Gamage, Jagath Samarabandu · Journal of Network and Computer Applications · 382
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
2019 · Mohamed Amine Ferrag, Leandros Maglaras · IEEE Transactions on Engineering Management · 358
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
2021 · Ankit Thakkar, Ritika Lohiya · Artificial Intelligence Review · 352
An effective intrusion detection approach using SVM with naïve Bayes feature embedding
2020 · Jie Gu, Shan Lu · Computers & Security · 346
An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset
2020 · Hongpo Zhang, Lulu Huang, et al. · Computer Networks · 345
RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System
2022 · Zihan Wu, Hong Zhang, et al. · IEEE Access · 323
PDF
A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning
2020 · Jesus Arturo Perez-Diaz, Ismael Amezcua Valdovinos, et al. · IEEE Access · 310
PDF
A Review of the Advancement in Intrusion Detection Datasets
2020 · Ankit Thakkar, Ritika Lohiya · Procedia Computer Science · 293
PDF
Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network
2020 · S. Manimurugan, Saad Al-Mutairi, et al. · IEEE Access · 292
PDF
Enhancing intrusion detection: a hybrid machine and deep learning approach
2024 · Muhammad Sajid, Kaleem Razzaq Malik, et al. · Journal of Cloud Computing Advances Systems and Applications · 289
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
2020 · MohammadNoor Injadat, Abdallah Moubayed, et al. · IEEE Transactions on Network and Service Management · 287
PDF
A Novel Hierarchical Intrusion Detection System Based on Decision Tree and Rules-Based Models
2019 · Ahmed Ahmim, Leandros Maglaras, et al. · International Conference on Distributed Computing in Sensor Systems (DCOSS) · 287
PDF
DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System
2020 · Pengfei Sun, Pengju Liu, et al. · Security and Communication Networks · 280
PDF
AI-IDS: Application of Deep Learning to Real-Time Web Intrusion Detection
2020 · Aechan Kim, Mohyun Park, et al. · IEEE Access · 278
PDF
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
2022 · Ankit Thakkar, Ritika Lohiya · Information Fusion · 258
RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks
2020 · Mohamed Amine Ferrag, Leandros Maglaras, et al. · Future Internet · 251
PDF
Intrusion Detection Using Big Data and Deep Learning Techniques
2019 · Osama Faker, Erdogan Dogdu · ACM Southeast Conference (ACMSE) · 242
A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM
2021 · Jingmei Liu, Yuanbo Gao, et al. · Computers & Security · 231
Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection
2020 · Hanan Hindy, Robert Atkinson, et al. · Electronics · 229
PDF
Evaluation of Machine Learning Algorithms for Anomaly Detection
2020 · Nebrase Elmrabit, Feixiang Zhou, et al. · International Conference on Cyber Security and Protection of Digital Services (Cyber Security) · 222
PDF
Works count: 3,831
Citation count: 39,720
Year
Topic
Type