A Survey on the Security of Hypervisors in Cloud Computing

Riddle, Andrew R.; Chung, Sung‐Yoon

doi:10.1109/icdcsw.2015.28

Cited by 28 publications

(20 citation statements)

References 16 publications

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“…misconfiguration, design and implementation bugs) an attacker can compromise the hypervisor, evade from isolation and potentially take over all the other guests [139]. We refer to such situation as virtual machine escape [102]. Escaped VMs can access data and information belonging to other VMs [126], resulting in paramount confidentiality issues.…”

Section: Confidentialitymentioning

confidence: 99%

“…Appropriate security mechanisms are therefore required for isolating virtual machines from each other and hence preventing data leakage. Some possible techniques for isolation enforcement are described in [126], while in [102], techniques for providing integrity of VMM are reported.…”

Section: Confidentialitymentioning

confidence: 99%

“…For this reason, in order to protect users' data integrity it is essential to protect the isolation capabilities and integrity of virtual machine monitors. A list of possible mechanisms to guarantee VMM integrity and enhance isolation is reported in [126] and [102].…”

Section: Vm Isolation Issues At This Level Virtual Machine Escaping mentioning

confidence: 99%

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Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era

et al. 2019

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The Internet of Things (IoT) is rapidly changing our society to a world where every "thing" is connected to the Internet, making computing pervasive like never before. This tsunami of connectivity and data collection relies more and more on the Cloud, where data analytics and intelligence actually reside. Cloud computing has indeed revolutionized the way computational resources and services can be used and accessed, implementing the concept of utility computing whose advantages are undeniable for every business. However, despite the benefits in terms of flexibility, economic savings, and support of new services, its widespread adoption is hindered by the security issues arising with its usage. From a security perspective, the technological revolution introduced by IoT and Cloud computing can represent a disaster, as each object might become inherently remotely hackable and, as a consequence, controllable by malicious actors. While the literature mostly focuses on security of IoT and Cloud computing as separate entities, in this article we provide an up-to-date and well-structured survey of the security issues of Cloud computing in the IoT era. We give a clear picture of where security issues occur and what their potential impact is. As a result, we claim that it is not enough to secure IoT devices, as cyber-storms come from Clouds.

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Section: Confidentialitymentioning

confidence: 99%

Section: Confidentialitymentioning

confidence: 99%

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Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era

et al. 2019

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“…If the code hash approach failed, a kernel data signature based approach from kernel data aspect will be used to determine the OS version. Security of hypervisors are surveyed in [23], focusing on attacks that allow a malicious virtual machine (VM) to compromise the hypervisor, as well as techniques used by the malicious VMs for hunting further allocation of physical resources, and strategies for bypassing the isolation between the VMs via side-channels. Side channel attacks bypass virtual machine isolation in the Cloud environment.…”

Section: Data Privacy and Cloud Securitymentioning

confidence: 99%

Cloud Computing: 360 Degree Reference

Fouad¹,

Mansour²

2017

IJCA

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“…The metrics of the VMs and host server were collected by running the VMs on the Xen (hypervisor) [37,38], which was installed on the host server in combination with preprocessing (reported in Table 3) using Ganglia metrics software. Because these metrics exist in the form of numerical data, the numerical variables had to be transformed into their categorical counterparts (binning) before constructing their frequency table to use them as input for the network topology structure [39].…”

Section: Determination Of Network Parametersmentioning

confidence: 99%

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

Alkasem

Liu

Shafiq

et al. 2017

Mobile Information Systems

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In cloud computing, there are four effective measurement criteria: (I) priority, (II) fault probability, (III) risk, and (IV) the duration of the repair action determining the efficacy of troubleshooting. In this paper, we propose a new theoretical algorithm to construct a model for fault troubleshooting; we do this by combining a Naïve-Bayes classifier (NBC) with a multivalued decision diagram (MDD) and influence diagram (ID), which structure and manage problems related to unambiguous modeling for any connection between significant entities. First, the NBC establish the fault probability based on a Naïve-Bayes probabilistic model for fault diagnosis. This approach consists of three steps: (I) identifying the network parameters to also show the reliance for probability relationship among the entire set of nodes; (II) determining the structure of the network topology; (III) assessing the probability of the fault being propagated. This calculates the probability of each node being faulty given the evidence. Second, the MDD combines the influential factors of four measurements and determines the utility value of prioritizing their actions during each step of the fault troubleshooting which in turn assesses which fault is selected for repair. We demonstrate how the procedure is adapted by our method, with the host server's failure to initiate a case-study. This approach is highly efficient and enables low-risk fault troubleshooting in the field of cloud computing.

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A Survey on the Security of Hypervisors in Cloud Computing

Cited by 28 publications

References 16 publications

Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era

Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era

Cloud Computing: 360 Degree Reference

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

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