Autoregressive Modeling and Prediction of Annual Worldwide Cybercrimes for Cloud Environments-Reference-Cited by-同舟云学术

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Autoregressive Modeling and Prediction of Annual Worldwide Cybercrimes for Cloud Environments

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 10th International Conference on Information and Communication Systems (ICICS)
language:
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Author:

Al-Haija Qasem Abu,Tawalbeh Lo'ai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8794646/8809079/08809125.pdf?arnumber=8809125

Cited by 13 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. Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks;Energy Exploration & Exploitation;2023-06-26

2. Vulnerability Assessment for Applications Security Through Penetration Simulation and Testing;Journal of Web Engineering;2022-12-28

3. Early-stage Malware and Ransomware Forecasting in the Short-Term Future Using Regression-based Neural Network Technique;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

4. Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks;Frontiers in Big Data;2022-01-13

5. Early Warning Scheme of COVID-19 related Internet Public Opinion based on RVM-L Model;Sustainable Cities and Society;2021-11

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