Analysis of Boosting Mechanisms in Cloud-based Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Analysis of Boosting Mechanisms in Cloud-based Intrusion Detection Systems

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

Zuhair Mohd¹,Bhattacharya Pronaya²,Prasad Vivek Kumar¹,Barot Manav¹,Modi Monil¹

Affiliation:

1. Institute of Technology Nirma University,CSE Department,Ahmedabad,India

2. Amity University,Amity School of Engineering and Technology,Department of CSE,Kolkata,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072015/10072297/10072683.pdf?arnumber=10072683

Reference15 articles.

1. A study on nsl-kdd dataset for intrusion detection system based on classification algorithms;dhanabal;International Journal of Advanced Research in Computer and Communication Engineering,2015

2. Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning

3. Improved boosting algorithms using confidence-rated predictions

4. Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset

5. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

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