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A Proposed Machine Learning-Based Model to Improve Iot Systems' Security

https://doi.org/10.2139/ssrn.4671349
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inferredcites →https://doi.org/10.1002/9781119670087.ch9openalex-extracted
IoT Driven Healthcare Monitoring System
inferredcites →https://doi.org/10.1007/s10009-020-00592-xopenalex-extracted
Static analysis for discovering IoT vulnerabilities
inferredcites →https://doi.org/10.1016/j.autcon.2021.103988openalex-extracted
A systemic framework for addressing cybersecurity in construction
inferredcites →https://doi.org/10.1016/j.cose.2021.102494openalex-extracted
The internet of things security: A survey encompassing unexplored areas and new insights
inferredcites →https://doi.org/10.1016/j.jisa.2018.05.002openalex-extracted
Identification of malicious activities in industrial internet of things based on deep learning models
inferredcites →https://doi.org/10.1016/j.jnca.2020.102630openalex-extracted
Machine learning based solutions for security of Internet of Things (IoT): A survey
inferredcites →https://doi.org/10.1016/j.patcog.2009.05.017openalex-extracted
A triangle area based nearest neighbors approach to intrusion detection
inferredcites →https://doi.org/10.1016/j.scs.2020.102332openalex-extracted
An integrated fire detection system using IoT and image processing technique for smart cities
inferredcites →https://doi.org/10.1109/access.2017.2762418openalex-extracted
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/ants.2016.7947776openalex-extracted
Enhancing performance of anomaly based intrusion detection systems through dimensionality reduction using principal component analysis
inferredcites →https://doi.org/10.1109/comst.2019.2953364openalex-extracted
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures
inferredcites →https://doi.org/10.1109/comst.2020.2964534openalex-extracted
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
inferredcites →https://doi.org/10.1109/comst.2020.2986444openalex-extracted
Machine Learning in IoT Security: Current Solutions and Future Challenges
inferredcites →https://doi.org/10.1109/icccnt49239.2020.9225520openalex-extracted
Hardcoded Credentials and Insecure Data Transfer in IoT: National and International Status
inferredcites →https://doi.org/10.1109/iced.2016.7804660openalex-extracted
Internet of Things (IoT): Taxonomy of security attacks
inferredcites →https://doi.org/10.1109/iscc50000.2020.9219671openalex-extracted
On securing IoT from Deep Learning perspective
inferredcites →https://doi.org/10.1109/jiot.2020.2989476openalex-extracted
Privacy Protection Scheme Based on CP-ABE in Crowdsourcing-IoT for Smart Ocean
inferredcites →https://doi.org/10.1109/jiot.2020.3002255openalex-extracted
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
inferredcites →https://doi.org/10.1109/naecon.2015.7443094openalex-extracted
Intrusion detection using deep belief networks
inferredcites →https://doi.org/10.1109/ssci.2017.8280825openalex-extracted
Intrusion detection of multiple attack classes using a deep neural net ensemble
inferredcites →https://doi.org/10.1109/tc.2016.2519914openalex-extracted
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
inferredcites →https://doi.org/10.1109/tencon50793.2020.9293811openalex-extracted
Signature-based and Behavior-based Attack Detection with Machine Learning for Home IoT Devices
inferredcites →https://doi.org/10.1109/tetci.2017.2772792openalex-extracted
A Deep Learning Approach to Network Intrusion Detection
inferredcites →https://doi.org/10.1109/tii.2019.2948068openalex-extracted
A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT
inferredcites →https://doi.org/10.1109/wincom.2016.7777224openalex-extracted
Deep learning approach for Network Intrusion Detection in Software Defined Networking
inferredcites →https://doi.org/10.1145/3379542openalex-extracted
An Experimental Analysis of Security Vulnerabilities in Industrial IoT Devices
inferredcites →https://doi.org/10.1515/9783110712254openalex-extracted
Computational Intelligence for Managing Pandemics
inferredcites →https://doi.org/10.3233/his-220006openalex-extracted
Federated learning: Applications, challenges and future directions
inferredcites →https://doi.org/10.3390/computers9010008openalex-extracted
Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)
inferredcites →https://doi.org/10.3390/electronics9081206openalex-extracted
A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection
inferredcites →https://doi.org/10.5120/ijca2020920548openalex-extracted
Review on the Security Threats of Internet of Things
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.