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