Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Authors
Keywords
-
Journal
Computer Networks
Volume 214, Issue -, Pages 109154
Publisher
Elsevier BV
Online
2022-07-08
DOI
10.1016/j.comnet.2022.109154
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Federated learning for malware detection in IoT devices
- (2022) Valerian Rey et al. Computer Networks
- A Distributed Intrusion Detection System to Detect DDoS Attacks in Blockchain-enabled IoT Network
- (2022) Randhir Kumar et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Two-step ensemble approach for intrusion detection and identification in IoT and fog computing environments
- (2022) Cristiano Antonio de Souza et al. COMPUTERS & ELECTRICAL ENGINEERING
- Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
- (2021) Mahmoud Abbasi et al. COMPUTER COMMUNICATIONS
- DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks
- (2021) Nour Moustafa et al. Future Generation Computer Systems-The International Journal of eScience
- A Lightweight Intelligent Intrusion Detection Model for Wireless Sensor Networks
- (2021) Jeng-Shyang Pan et al. Security and Communication Networks
- Denial of ARP spoofing in SDN and NFV enabled cloud-fog-edge platforms
- (2021) Anil Kumar Rangisetti et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- IoT-based smart environment using intelligent intrusion detection system
- (2021) Gauri Kalnoor et al. SOFT COMPUTING
- Classifier Performance Evaluation for Lightweight IDS Using Fog Computing in IoT Security
- (2021) Belal Sudqi Khater et al. Electronics
- PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities
- (2021) Prabhat Kumar et al. IEEE Transactions on Network Science and Engineering
- Application of complex systems topologies in artificial neural networks optimization: An overview
- (2021) Sara Kaviani et al. EXPERT SYSTEMS WITH APPLICATIONS
- Energy-efficient and secure mobile fog-based cloud for the Internet of Things
- (2021) Abdul Razaque et al. Future Generation Computer Systems-The International Journal of eScience
- Human Immune-Based Intrusion Detection and Prevention System for Fog Computing
- (2021) Farouq Aliyu et al. Journal of Network and Systems Management
- Software Defined Network Enabled Fog-to-Things Hybrid Deep Learning Driven Cyber Threat Detection System
- (2021) Ihtisham Ullah et al. Security and Communication Networks
- A Hybrid Lightweight System for Early Attack Detection in the IoMT Fog
- (2021) Shilan S. Hameed et al. SENSORS
- A fog‐based collaborative intrusion detection framework for smart grid
- (2020) Wenjuan Li et al. International Journal of Network Management
- A novel distributed training on fog node in IoT backbone networks for security
- (2020) S. Shinly Swarna Sugi et al. SOFT COMPUTING
- Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model
- (2020) Mohammed Al-Khafajiy et al. ACM Transactions on Internet Technology
- An Edge IDS Based on Biological Immune Principles for Dynamic Threat Detection
- (2020) Yajing Zhang et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
- (2020) Md Arafatur Rahman et al. Sustainable Cities and Society
- An Anomaly Mitigation Framework for IoT Using Fog Computing
- (2020) Muhammad Aminu Lawal et al. Electronics
- An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
- (2020) Prabhat Kumar et al. COMPUTER COMMUNICATIONS
- Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment
- (2020) Bhuvaneswari Amma N.G. et al. Future Generation Computer Systems-The International Journal of eScience
- MQTTset, a New Dataset for Machine Learning Techniques on MQTT
- (2020) Ivan Vaccari et al. SENSORS
- Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection
- (2020) Azzam Mourad et al. IEEE Internet of Things Journal
- Intrusion Detection for Cyber–Physical Systems Using Generative Adversarial Networks in Fog Environment
- (2020) Paulo Freitas de Araujo-Filho et al. IEEE Internet of Things Journal
- A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing
- (2019) Belal Sudqi Khater et al. Applied Sciences-Basel
- Implementing an intrusion detection and prevention system using software-defined networking: Defending against port-scanning and denial-of-service attacks
- (2019) Celyn Birkinshaw et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Internet of Things: A survey on machine learning-based intrusion detection approaches
- (2019) Kelton A.P. da Costa et al. Computer Networks
- Intrusion detection systems in the Internet of things: A comprehensive investigation
- (2019) Somayye Hajiheidari et al. Computer Networks
- 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
- Evaluation of Network Intrusion Detection Systems for RPL Based 6LoWPAN Networks in IoT
- (2019) Abhishek Verma et al. WIRELESS PERSONAL COMMUNICATIONS
- Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks
- (2019) Thi-Thu-Huong Le et al. Applied Sciences-Basel
- Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
- (2019) Ori Or-Meir et al. ACM COMPUTING SURVEYS
- A fog computing based approach to DDoS mitigation in IIoT systems
- (2019) Luying Zhou et al. COMPUTERS & SECURITY
- Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog
- (2019) Nour Moustafa et al. IEEE Transactions on Information Forensics and Security
- Deep recurrent neural network for IoT intrusion detection system
- (2019) Muder Almiani et al. SIMULATION MODELLING PRACTICE AND THEORY
- SDN/NFV security framework for fog‐to‐things computing infrastructure
- (2019) Prabhakar Krishnan et al. SOFTWARE-PRACTICE & EXPERIENCE
- Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
- (2019) Hongyu Liu et al. Applied Sciences-Basel
- Semi-supervised learning based distributed attack detection framework for IoT
- (2018) Shailendra Rathore et al. APPLIED SOFT COMPUTING
- A cybersecurity framework to identify malicious edge device in fog computing and cloud-of-things environments
- (2018) Amandeep Singh Sohal et al. COMPUTERS & SECURITY
- 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
- Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
- (2018) Abebe Abeshu et al. IEEE COMMUNICATIONS MAGAZINE
- Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
- (2018) Jianbing Ni et al. IEEE Communications Surveys and Tutorials
- Optimal Countermeasures Selection Against Cyber Attacks: A Comprehensive Survey on Reaction Frameworks
- (2018) Pantaleone Nespoli et al. IEEE Communications Surveys and Tutorials
- A fog-based privacy-preserving approach for distributed signature-based intrusion detection
- (2018) Yu Wang et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment
- (2018) Kai Peng et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Sample Selected Extreme Learning Machine Based Intrusion Detection in Fog Computing and MEC
- (2018) Xingshuo An et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Multistage Signaling Game-Based Optimal Detection Strategies for Suppressing Malware Diffusion in Fog-Cloud-Based IoT Networks
- (2018) Shigen Shen et al. IEEE Internet of Things Journal
- Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications
- (2018) Abebe Diro et al. IEEE COMMUNICATIONS MAGAZINE
- Blind Multiclass Ensemble Classification
- (2018) Panagiotis A. Traganitis et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Design of cognitive fog computing for intrusion detection in Internet of Things
- (2018) S. Prabavathy et al. JOURNAL OF COMMUNICATIONS AND NETWORKS
- A Novel Differential Game Model-Based Intrusion Response Strategy in Fog Computing
- (2018) Xingshuo An et al. Security and Communication Networks
- Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system
- (2018) Xingshuo An et al. EURASIP Journal on Wireless Communications and Networking
- A survey of intrusion detection in Internet of Things
- (2017) Bruno Bogaz Zarpelão et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Collusion attacks mitigation in internet of things: a fog based model
- (2017) Qussai Yaseen et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset
- (2016) Constantinos Kolias et al. IEEE Communications Surveys and Tutorials
- A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
- (2016) Anna L. Buczak et al. IEEE Communications Surveys and Tutorials
- Learning Internet-of-Things Security "Hands-On"
- (2016) Constantinos Kolias et al. IEEE SECURITY & PRIVACY
- Decision forest: Twenty years of research
- (2016) Lior Rokach Information Fusion
- Security, privacy and trust in Internet of Things: The road ahead
- (2015) S. Sicari et al. Computer Networks
- Guidelines for conducting systematic mapping studies in software engineering: An update
- (2015) Kai Petersen et al. INFORMATION AND SOFTWARE TECHNOLOGY
- ORCEF: Online response cost evaluation framework for intrusion response system
- (2015) Alireza Shameli-Sendi et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A survey of intrusion detection techniques for cyber-physical systems
- (2014) Robert Mitchell et al. ACM COMPUTING SURVEYS
- An empirical comparison of botnet detection methods
- (2014) S. García et al. COMPUTERS & SECURITY
- $\rm E}^{2{\rm LMs}$: Ensemble Extreme Learning Machines for Hyperspectral Image Classification
- (2014) Alim Samat et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Quality models for web services: A systematic mapping
- (2014) Marc Oriol et al. INFORMATION AND SOFTWARE TECHNOLOGY
- CloudExp: A comprehensive cloud computing experimental framework
- (2014) Yaser Jararweh et al. SIMULATION MODELLING PRACTICE AND THEORY
- SVELTE: Real-time intrusion detection in the Internet of Things
- (2013) Shahid Raza et al. Ad Hoc Networks
- Cyber-physical security metric inference in smart grid critical infrastructures based on system administrators' responsive behavior
- (2013) Saman Zonouz et al. COMPUTERS & SECURITY
- NICE: Network Intrusion Detection and Countermeasure Selection in Virtual Network Systems
- (2013) Chun-Jen Chung et al. IEEE Transactions on Dependable and Secure Computing
- A systematic review of systematic review process research in software engineering
- (2013) Barbara Kitchenham et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Internet of things: Vision, applications and research challenges
- (2012) Daniele Miorandi et al. Ad Hoc Networks
- Toward developing a systematic approach to generate benchmark datasets for intrusion detection
- (2012) Ali Shiravi et al. COMPUTERS & SECURITY
- The Internet of Things: A survey
- (2010) Luigi Atzori et al. Computer Networks
- OpenFlow
- (2008) Nick McKeown et al. ACM SIGCOMM Computer Communication Review
- Systematic literature reviews in software engineering – A systematic literature review
- (2008) Barbara Kitchenham et al. INFORMATION AND SOFTWARE TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now