A machine learning-based investigation of cloud service attacks
Intisar Al-Mandhari
10.26174/thesis.lboro.11106278
https://repository.lboro.ac.uk/articles/thesis/A_machine_learning-based_investigation_of_cloud_service_attacks/11106278
In this thesis, the security challenges of cloud computing are investigated in the Infrastructure as a Service (IaaS) layer, as security is one of the major concerns related to Cloud services. As IaaS consists of different security terms, the research has been further narrowed down to focus on Network Layer Security. Review of existing research revealed that several types of attacks and threats can affect cloud security. Therefore, there is a need for intrusion defence implementations to protect cloud services. Intrusion Detection (ID) is one of the most effective solutions for reacting to cloud network attacks. [Continues.]
2019-12-05 15:28:48
cloud computing
Network security
artificial intelligence models
imbalanced datasets
machine learning
feature selection
Information and Computing Sciences not elsewhere classified