Attack detection and mitigation using optimal deep maxout network in cloud computing-Reference-Cited by-同舟云学术

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Attack detection and mitigation using optimal deep maxout network in cloud computing

Published:2022-06-25 Issue:9 Volume:36 Page:2217-2237
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Adaptive Control & Signal

Author:

Patil Shubangini¹^ORCID,Patil Rekha¹

Affiliation:

1. Department of Computer Science and Engineering Poojya Doddappa Appa College of Engineering Gulbarga Karnataka 585102 India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3451

Reference40 articles.

1. An anomaly-based approach for DDoS attack detection in cloud environment

2. An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

3. The impact and mitigation of ICMP based economic denial of sustainability attack in cloud computing environment using software defined network

4. NenvaniG GuptaH.A survey on attack detection on cloud using supervised learning techniques. Proceedings of Symposium on Colossal Data Analysis and Networking (CDAN); 2016:1‐5.

5. PatilS PatilR. “Efficient and Secure Group Data Sharing Model based on Selection scheme in Cloud environment ” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) 2019 pp.146‐151.

Cited by 1 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. Optimal Trained Deep Maxout Model for Intrusion Detection in Cloud;2022 International Conference on Automation, Computing and Renewable Systems (ICACRS);2022-12-13

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