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Nowadays, because of increasing use of Internet connection, security becomes a huge challenge for individuals as well as governments and organizations. Therefore, in the last decade, the world is moving toward green computing in the purpose either to store energy or to decrease operational costs. So, this new technology uses web servers to provide web applications to end user. Generally, these web servers become unavailable because of HyperText Transfer Protocol (HTTP) flood Denial of Service (DoS) attack, especially HTTP-Get DoS attack. This paper proposes a novel approach based on ontology to detect slow HTTP-Get DoS attack as an intelligent system at application layer. For testing our ontological model, Canadian Institute for Cybersecurity Intrusion Detection System (CIC-IDS2017) dataset test tool is used to test our model. Results show that our ontological model detects HTTP-Get DoS attack with detection accuracy of 100%. For more illustration, a comparison study with other classic existing approaches is done so that our ontological model performs better than HADM and NetFPGA, which have an accuracy of 92.63% and 93%, respectively. [ABSTRACT FROM AUTHOR]

In this paper, we propose a new cloud reactive fault management technique called Hybrid Redundant Array of Independent resources for cloud computing (H_RAIC). The latter uses a new concept called Redundant Array of Independent resources for cloud computing (CRAIR), which is inspired by a powerful conventional technique called Redundant Arrays of Inexpensive Disks (RAID). H_RAIC takes into consideration the cloud resources state and aims to satisfy both cloud users and cloud provider requirements. Our solution was compared with the replication technique which represents a specific case of CRAIR, and with other CRAIR levels defined in this paper. The results show that our technique is a promising solution, that can be used to meet both user and provider requirements. [ABSTRACT FROM AUTHOR]