This paper reviews the background and related studies in the areas of cloud systems,
intrusion detection and blockchain applications against cyber attacks. This work aims to …

Current anomaly detection systems (ADSs) apply statistical and machine learning
algorithms to discover zero-day attacks, but such algorithms are vulnerable to advanced …

Applications developed to fulfil distributed systems needs have been growing rapidly. Major
evolutions have happened beginning with basic architecture relying on initiated request by a …

Cloud computing is facing a multidimensional and rapidly evolving threat landscape, making
intrusion detection more challenging. This paper introduces a new hypervisor-based cloud …

Security is a major challenge faced by cloud computing (CC) due to its open and distributed
architecture. Hence, it is vulnerable and prone to intrusions that affect confidentiality …

Distributed intrusion detection systems (DIDS) are a specialized subset of conventional IDSs
designed for implementation in distributed environments. Each IDS is integrated into distinct …

Cloud computing (CC) is the fastest-growing data hosting and computational technology that
stands today as a satisfactory answer to the problem of data storage and computing …

Cloud computing is distributed architecture, providing computing facilities and storage
resource as a service over an open environment (Internet), this lead to different matters …

Cloud computing is more convenient and efficient than traditional on-premise computing for
users, as it provides large scale resources, software, and information to each customer …

To execute seamless computing along with information sharing, Cloud Computing (CC)
plays an important role in measurable resource sharing. But, owing to its open and …