Review: A Study on Malware Detection in Cloud Network Targeting Cloud Infrastructures

نویسنده

  • Manoj Agnihotri
چکیده

Cloud computing is accepted by many companies to put their resources such as server, storage and applications on the cloud network somewhere on internet. The end user’s data is placed on cloud infrastructures with minimal cost which makes cloud computing is one of the promising and growing technology. In an abstract terms, the cloud computing technology enable the users to access the large infrastructures and resources for high speed computing through a different middleware that are similar to existing Grid and HPC computing. These type of systems provide the environment to host the scalable applications and these also gained the popularity over the past decades. But instead of providing the shared platform to the users, the cloud network is prone to various security risks such as malwares infections, distributed denial of service attacks, SQL injection and even more complicated attacks in the form of botnet zombies. In this paper, we present a study of security issues and infection propagation in cloud network. However detection capabilities of tradition host based anti-virus is limited and these software fails to detect many threats and complexity of latest attacks are increasing which evade the traditional security mechanisms. In this paper, malware detection and research work on these techniques are presented to get the internals of cloud security and putting the advance malware detection techniques to protect the cloud infrastructures. In a cloud network, the resources are provided to the end user in the form of virtual machines, which make them vulnerable to malware exploits, VM Escape based attacks and even distributed denial of service attacks of the resources hosted over the cloud network.

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تاریخ انتشار 2017