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Abstract
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Abstract
One of the most important challenges faced by cloud computing is the security of the computing. The challenges in the cloud computing services (CCS) are performance and mainly security. All possible attacks on computer systems in CC can be termed as cyber-attacks. With billions of connected devices, using smart cloud computing devices has led to an increase in attacks on them and an increase in weakness points on them, which in turn can be exploited by hackers and cybercriminals. Security concerns in cloud computing lead to heavy losses, which is the loss of confidence for users of this service in the service itself, in addition to the serious impact on the sustainable development of cloud computing. The intrusion detection system (IDS) can help reduce these security holes in cloud computing Environment a hybrid IDS (HyIDS) can provide better protection than the traditional IDSs. Through the improved hybrid model, higher accuracy and better performance can be obtained with fewer features. IDS technology is divided into two types: network IDS (NIDS) and host IDS (HIDS). A hybrid IDS can be created by combining the strengths of these two technologies to create a system with greater accuracy and efficiency
This research aims at:
1- Studying (i) the protection of the cybersecurity in a cloud computing environment through detecting threats that may affect the cloud network, (ii) the protection of the user information assets against the intrusions, and (iii) the appropriate security design to protect a CC environment and developing a system for detecting and reporting any threat or malicious network activity.
2- Because the intrusion detection system (IDSs) detects known threats and attacks by detecting abuse and unable to detect unknown attacks, we aim at proposing a hybrid intrusion detection system (HyIDS) to detect both of the known and unknown attacks. This system will apply a combination of feature selection methods, evaluation algorithms and ML algorithms.
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