Related references
Note: Only part of the references are listed.A tree-based stacking ensemble technique with feature selection for network intrusion detection
Mamunur Rashid et al.
APPLIED INTELLIGENCE (2022)
Machine Learning for Prediction of Drug Targets in Microbe Associated Cardiovascular Diseases by Incorporating Host-pathogen Interaction Network Parameters
Nirupma Singh et al.
MOLECULAR INFORMATICS (2022)
An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things
Deepti Rani et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2022)
Experimental Analysis of Classification for Different Internet of Things (IoT) Network Attacks Using Machine Learning and Deep learning
Anika Tasnim et al.
2022 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATIONS (DASA) (2022)
Feature selection for intrusion detection system in Internet-of-Things (IoT)
Pushparaj Nimbalkar et al.
ICT EXPRESS (2021)
Intrusion Detection in Industrial Internet of Things Network-Based on Deep Learning Model with Rule-Based Feature Selection
Joseph Bamidele Awotunde et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2021)
A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks
Imtiaz Ullah et al.
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) (2020)
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems
Abdullah Alsaedi et al.
IEEE ACCESS (2020)
Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement
Ernest Kwame Ampomah et al.
INFORMATION (2020)
RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks
Mohamed Amine Ferrag et al.
FUTURE INTERNET (2020)
ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network
Andria Procopiou et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2019)
Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset
Nickolaos Koroniotis et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things
Nour Moustafa et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
A Supervised Intrusion Detection System for Smart Home IoT Devices
Eirini Anthi et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Gene Expression Value Prediction Based on XGBoost Algorithm
Wei Li et al.
FRONTIERS IN GENETICS (2019)
A Novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
Ansam Khraisat et al.
ELECTRONICS (2019)
Network Intrusion Detection for IoT Security Based on Learning Techniques
Nadia Chaabouni et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)
Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions
Bander Ali Saleh Al-rimy et al.
COMPUTERS & SECURITY (2018)
Random forest for label ranking
Yangming Zhou et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
A security authorization scheme for smart home Internet of Things devices
Bogdan-Cosmin Chifor et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2018)
Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications
Abebe Diro et al.
IEEE COMMUNICATIONS MAGAZINE (2018)
Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset
Constantinos Kolias et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Anna L. Buczak et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)
Identifying the Scan and Attack Infrastructures Behind Amplification DDoS Attacks
Johannes Krupp et al.
CCS'16: PROCEEDINGS OF THE 2016 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2016)
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
Saman Taghavi Zargar et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2013)
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
Mikel Galar et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
Additive logistic regression: A statistical view of boosting
J Friedman et al.
ANNALS OF STATISTICS (2000)
Share Paper
