A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems
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Title
A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems
Authors
Keywords
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Journal
SENSORS
Volume 22, Issue 12, Pages 4459
Publisher
MDPI AG
Online
2022-06-13
DOI
10.3390/s22124459
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- A Lightweight Mutual Authentication for Smart Grid Neighborhood Area Network Communications Based on Physically Unclonable Function
- (2020) Masoud Kaveh et al. IEEE Systems Journal
- Network intrusion detection system: A systematic study of machine learning and deep learning approaches
- (2020) Zeeshan Ahmad et al. Transactions on Emerging Telecommunications Technologies
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- (2020) Masoud Kaveh et al. Electronics
- Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities
- (2020) Swati Sharda et al. Sustainable Cities and Society
- Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder
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- Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset
- (2019) Nickolaos Koroniotis et al. Future Generation Computer Systems-The International Journal of eScience
- Distributed denial of service attacks and its defenses in IoT: a survey
- (2019) Mikail Mohammed Salim et al. JOURNAL OF SUPERCOMPUTING
- Improved biogeography-based optimization using migration process adjustment: An approach for location-allocation of ambulances
- (2019) Mehrdad Kaveh et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A Hybrid Deep Learning-Based Model for Anomaly Detection in Cloud Datacenter Networks
- (2019) Sahil Garg et al. IEEE Transactions on Network and Service Management
- Sensing, Controlling, and IoT Infrastructure in Smart Building: A Review
- (2019) Anurag Verma et al. IEEE SENSORS JOURNAL
- DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
- (2019) Yazan Otoum et al. Transactions on Emerging Telecommunications Technologies
- Blockchain for Internet of Things: A Survey
- (2019) Hong-Ning Dai et al. IEEE Internet of Things Journal
- Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems
- (2019) Vahideh Hayyolalam et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- On blockchain and its integration with IoT. Challenges and opportunities
- (2018) Ana Reyna et al. Future Generation Computer Systems-The International Journal of eScience
- IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
- (2018) Liang Xiao et al. IEEE SIGNAL PROCESSING MAGAZINE
- An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things
- (2018) Nour Moustafa et al. IEEE Internet of Things Journal
- Design and implementation of a neighborhood search biogeography-based optimization trainer for classifying sonar dataset using multi-layer perceptron neural network
- (2018) M. Kaveh et al. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
- Current research on Internet of Things (IoT) security: A survey
- (2018) Mardiana binti Mohamad Noor et al. Computer Networks
- First Mile Challenges for Large-Scale IoT
- (2017) Ahmed Bader et al. IEEE COMMUNICATIONS MAGAZINE
- A survey of intrusion detection in Internet of Things
- (2017) Bruno Bogaz Zarpelão et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An effective intrusion detection framework based on SVM with feature augmentation
- (2017) Huiwen Wang et al. KNOWLEDGE-BASED SYSTEMS
- Future of IoT Networks: A Survey
- (2017) Suk Lee et al. Applied Sciences-Basel
- A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
- (2017) Chuanlong Yin et al. IEEE Access
- A Two-layer Dimension Reduction and Two-tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks
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- Design and Deployment of an IoT Application-Oriented Testbed
- (2015) Laura Belli et al. COMPUTER
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- CANN: An intrusion detection system based on combining cluster centers and nearest neighbors
- (2015) Wei-Chao Lin et al. KNOWLEDGE-BASED SYSTEMS
- Internet of Things in Industries: A Survey
- (2014) Li Da Xu et al. IEEE Transactions on Industrial Informatics
- A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
- (2012) Levent Koc et al. EXPERT SYSTEMS WITH APPLICATIONS
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