AutoBots: A Botnet Intrusion Detection Scheme Using Deep Autoencoders-Reference-Cited by-同舟云学术

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AutoBots: A Botnet Intrusion Detection Scheme Using Deep Autoencoders

Published:2023 Issue: Volume: Page:873-886
ISSN:2367-3370
Container-title:Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security
language:
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Author:

Verma Ashwin,Bhattacharya Pronaya,Prasad Vivek Kumar,Datt Rajan,Tanwar Sudeep

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1479-1_64

Reference38 articles.

1. https://blog.checkpoint.com/2022/10/26/third-quarter-of-2022-revealsincrease-in-cyberattacks

2. Verma A, Bhattacharya P, Bodkhe U, Zuhair M, Dewangan RK (2021) Blockchain-based federated cloud environment: Issues and challenges. In: Blockchain for information security and privacy, pp 155–176

3. Shaikh AH, Meshram B (2022) Cloud attacks and defence mechanism for SaaS: a survey. In: Intelligent computing and networking. Springer, pp 43–52

4. Aqeel S, Shahid Khan A, Ahmad Z, Abdullah J (2022) A comprehensive study on dna based security scheme using deep learning in healthcare. EDPACS 66(3):1–17

5. Patel M, Prasad VK, Bhattacharya P, Bhavsar M, Zuhair M (2022) Privacy preservation for big data healthcare management. In: 2022 3rd international conference on intelligent engineering and management (ICIEM), London, United Kingdom, pp 211–216. https://doi.org/10.1109/ICIEM54221.2022.9853038

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2. Efficient Resource Utilization in IoT and Cloud Computing;Information;2023-11-19

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