Detecting an Insider Threat and Analysis of XGBoost using Hyperparameter tuning-Reference-Cited by-同舟云学术

Detecting an Insider Threat and Analysis of XGBoost using Hyperparameter tuning

Published:2022-01-28 Issue: Volume: Page:
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Container-title:2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Mamidanna Sashi Kumar¹,Reddy C R K²,Gujju Akash³

Affiliation:

1. Osmania University,Dept. of CSE,Hyderabad,India

2. Mahatma Gandhi Institute of Technology,Dept. of CSE,Hyderabad,India

3. University of South California,Dept of CS AI,LA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751777/9752467/09752509.pdf?arnumber=9752509

Reference30 articles.

1. Insider threat detection using stream mining and graph mining;pallabi;2011 IEEE Third International Conference on Privacy Security Risk and Trust and 2011 IEEE Third International Conference on Social Computing,2011

2. Use of machine learning in big data analytics for insider threat detection

3. Understanding Insider Threat: A Framework for Characterising Attacks

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