Supervised Machine Learning for Cloud Security

Author:

Singhal Saurabh1,Srivastava Rishabh2,Shyam R3,Mangal Deepak3

Affiliation:

1. GLA University,Department of CEA,Mathura,Uttar Pradesh,India

2. Jain University,Department of CSE(AIML& Cyber Security),Bengaluru,India

3. Jain University,Department of CS & IT,Bengaluru,India

Publisher

IEEE

Reference29 articles.

1. Detecting P2P botnets through network behavior analysis and machine learning;sherif;Proceedings of 9th Annual Conference on Privacy Security and Trust (PST2011),2011

2. The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set;nour;information Security Journal A Global Perspective,2016

3. MLaaS: Machine Learning as a Service

4. Intrusion Detection in the Cloud;roshke;In Eighth IEEE International Conference on Dependable Autonomic and Secure Computing,2009

5. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set);nour;Military Communications and Information Systems Conference (MilCIS),2015

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. Anomaly-Based Intrusion Detection System for IoT Environment Using Machine Learning;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11

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