Machine learning and the Internet of Things security: Solutions and open challenges
Published 2022 View Full Article
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Title
Machine learning and the Internet of Things security: Solutions and open challenges
Authors
Keywords
Internet of Things, Security, Machine learning
Journal
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
Volume 162, Issue -, Pages 89-104
Publisher
Elsevier BV
Online
2022-01-29
DOI
10.1016/j.jpdc.2022.01.015
References
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Related references
Note: Only part of the references are listed.- Towards a deep learning-driven intrusion detection approach for Internet of Things
- (2021) Mengmeng Ge et al. Computer Networks
- Internet of Things: Evolution, Concerns and Security Challenges
- (2021) Parushi Malhotra et al. SENSORS
- Security Vulnerabilities in LPWANs—An Attack Vector Analysis for the IoT Ecosystem
- (2021) Nuno Torres et al. Applied Sciences-Basel
- A systematic review on Deep Learning approaches for IoT security
- (2021) Lerina Aversano et al. Computer Science Review
- Role of IoT Technology in Agriculture: A Systematic Literature Review
- (2020) Muhammad Shoaib Farooq et al. Electronics
- Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
- (2020) Muhammad Shafiq et al. Future Generation Computer Systems-The International Journal of eScience
- Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement
- (2020) He Fang et al. IEEE NETWORK
- Machine learning based solutions for security of Internet of Things (IoT): A survey
- (2020) Syeda Manjia Tahsien et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Secure Communications for Resource-Constrained IoT Devices
- (2020) Abd-Elhamid M. Taha et al. SENSORS
- A survey of machine learning-based solutions to protect privacy in the Internet of Things
- (2020) Mohammad Amiri-Zarandi et al. COMPUTERS & SECURITY
- A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things
- (2020) Noshina Tariq et al. SENSORS
- A Survey of Internet of Things (IoT) Authentication Schemes
- (2019) Mohammed El-hajj et al. SENSORS
- An intrusion detection system for connected vehicles in smart cities
- (2019) Moayad Aloqaily et al. Ad Hoc Networks
- A lightweight machine learning-based authentication framework for smart IoT devices
- (2019) P. Punithavathi et al. INFORMATION SCIENCES
- The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey
- (2019) Noshina Tariq et al. SENSORS
- An Overview of Internet of Dental Things: New Frontier in Advanced Dentistry
- (2019) Smita Salagare et al. WIRELESS PERSONAL COMMUNICATIONS
- Groundwork for Neural Network-Based Specific Emitter Identification Authentication for IoT
- (2019) Jason M. McGinthy et al. IEEE Internet of Things Journal
- Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
- (2019) Maede Zolanvari et al. IEEE Internet of Things Journal
- Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN
- (2019) Raja Majid Ali Ujjan et al. Future Generation Computer Systems-The International Journal of eScience
- A Supervised Intrusion Detection System for Smart Home IoT Devices
- (2019) Eirini Anthi et al. IEEE Internet of Things Journal
- A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT
- (2019) Noshina Tariq et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Exploring Unsupervised Learning Techniques for the Internet of Things
- (2019) Giampaolo Casolla et al. IEEE Transactions on Industrial Informatics
- Semi-supervised learning based distributed attack detection framework for IoT
- (2018) Shailendra Rathore et al. APPLIED SOFT COMPUTING
- Information security model of block chain based on intrusion sensing in the IoT environment
- (2018) Daming Li et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- The Cyber-Physical Systems Revolution
- (2018) Dimitrios Serpanos COMPUTER
- Deep Learning for the Internet of Things
- (2018) Shuochao Yao et al. COMPUTER
- A reliable and energy-efficient classifier combination scheme for intrusion detection in embedded systems
- (2018) Eduardo Viegas et al. COMPUTERS & SECURITY
- MalDozer: Automatic framework for android malware detection using deep learning
- (2018) ElMouatez Billah Karbab et al. Digital Investigation
- Non-parametric sequence-based learning approach for outlier detection in IoT
- (2018) Nashreen Nesa et al. Future Generation Computer Systems-The International Journal of eScience
- Distributed attack detection scheme using deep learning approach for Internet of Things
- (2018) Abebe Abeshu Diro et al. Future Generation Computer Systems-The International Journal of eScience
- A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting
- (2018) Hamed HaddadPajouh et al. Future Generation Computer Systems-The International Journal of eScience
- Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
- (2018) Abebe Abeshu et al. IEEE COMMUNICATIONS MAGAZINE
- A Multi-Level DDoS Mitigation Framework for the Industrial Internet of Things
- (2018) Qiao Yan et al. IEEE COMMUNICATIONS MAGAZINE
- A Survey of Mobile Information-Centric Networking: Research Issues and Challenges
- (2018) Chao Fang et al. IEEE Communications Surveys and Tutorials
- A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Towards Universal and Resilient Systems
- (2018) Elhadj Benkhelifa et al. IEEE Communications Surveys and Tutorials
- PHY-Layer Authentication With Multiple Landmarks With Reduced Overhead
- (2018) Liang Xiao et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Scheduling framework for distributed intrusion detection systems over heterogeneous network architectures
- (2018) José Francisco Colom et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Applications of Deep Learning and Reinforcement Learning to Biological Data
- (2018) Mufti Mahmud et al. IEEE Transactions on Neural Networks and Learning Systems
- A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework
- (2018) Da Yin et al. IEEE Access
- Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking
- (2018) Francesco Restuccia et al. IEEE Internet of Things Journal
- A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations
- (2018) A. A. Zaidan et al. ARTIFICIAL INTELLIGENCE REVIEW
- IoT as a Land of Opportunity for DDoS Hackers
- (2018) Natalija Vlajic et al. COMPUTER
- Intrusion Detection in the Era of IoT: Building Trust via Traffic Filtering and Sampling
- (2018) Weizhi Meng COMPUTER
- Swarm intelligence-based algorithms within IoT-based systems: A review
- (2018) Ouarda Zedadra et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
- (2018) Jiaqi Li et al. IEEE Internet of Things Journal
- Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?
- (2017) Earlence Fernandes et al. IEEE SECURITY & PRIVACY
- Machine Learning-Based Malicious Application Detection of Android
- (2017) Linfeng Wei et al. IEEE Access
- Machine Learning With Big Data: Challenges and Approaches
- (2017) Alexandra L'Heureux et al. IEEE Access
- System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey
- (2017) Ngoc Duy Nguyen et al. IEEE Access
- Intelligent Intrusion Detection in Low-Power IoTs
- (2016) Ahmed Saeed et al. ACM Transactions on Internet Technology
- PHY-Layer Spoofing Detection With Reinforcement Learning in Wireless Networks
- (2016) Liang Xiao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A survey of machine learning for big data processing
- (2016) Junfei Qiu et al. EURASIP Journal on Advances in Signal Processing
- Machine Learning Methods for Attack Detection in the Smart Grid
- (2016) Mete Ozay et al. IEEE Transactions on Neural Networks and Learning Systems
- Linear SVM-Based Android Malware Detection for Reliable IoT Services
- (2014) Hyo-Sik Ham et al. Journal of Applied Mathematics
- On the Vital Areas of Intrusion Detection Systems in Wireless Sensor Networks
- (2013) Abror Abduvaliyev et al. IEEE Communications Surveys and Tutorials
- A Survey of Intrusion Detection Systems in Wireless Sensor Networks
- (2013) Ismail Butun et al. IEEE Communications Surveys and Tutorials
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