Deep Learning and Entity Embedding-Based Intrusion Detection Model for Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Deep Learning and Entity Embedding-Based Intrusion Detection Model for Wireless Sensor Networks

Published:2021 Issue:1 Volume:69 Page:1343-1360
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Almaslukh Bandar

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stochastic Machine Learning Based Attacks Detection System in Wireless Sensor Networks;Journal of Network and Systems Management;2023-12-29

2. Mitigating denial of service attacks in fog-based wireless sensor networks using machine learning techniques;Journal of Data, Information and Management;2023-10-09

3. Evolutionary Optimization with Variational Auto encoder based Denial of Service Attack Detection and Classification in Wireless Sensor Networks;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24

4. Zero-day Attack Solutions Using Threat Hunting Intelligence: Extensive Survey;2022 International Conference on Data Analytics for Business and Industry (ICDABI);2022-10-25

5. Feature Encoding For High Cardinality Categorical Variables Using Entity Embeddings: A Case Study in Customs Fraud Detection;2022 International Conference on Cyber Resilience (ICCR);2022-10-06

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