ForenVisor: A Tool for Acquiring and Preserving Reliable Data in Cloud Live Forensics

Qi, Zhengwei; Xiang, Chengcheng; Ma, Ruhui; Li, Jian; Guan, Haibing; Wei, Dennis

doi:10.1109/tcc.2016.2535295

Cited by 32 publications

(9 citation statements)

References 33 publications

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“…Data sharing and data access are also examined by Pasquier et al (2016) and Yan et al (2016) in this special issue. Specifically, Pasquier et al (2016) present the Cambridge Flow Control Architecture (CamFlow) designed to enforce data flow policy and reduce the potential for data leakage due to malicious or buggy software, and Yan et al (2016) present a data access scheme which employs both attribute-based encryption and proxy re-encryption.…”

Section: Privacy (Includes Data Access and Data Sharing)mentioning

confidence: 97%

“…Consequently, there is a growing need for forensic investigations to ascertain how an attack was carried out or how an event occurred on a cloud service. This is the gap that and Qi et al (2016) seek to address. introduce a fully reversible privacy region protection for cloud video surveillance based on their proposed fully reversible privacy protection method for H.264/AVC compressed video.…”

Section: Forensicsmentioning

confidence: 99%

“…introduce a fully reversible privacy region protection for cloud video surveillance based on their proposed fully reversible privacy protection method for H.264/AVC compressed video. Qi et al (2016) present a tool designed to acquire and preserve data in a cloud computing environment.…”

Section: Forensicsmentioning

confidence: 99%

See 2 more Smart Citations

Cloud Security Engineering: Theory, Practice and Future Research

Choo

Rana

Rajarajan

2017

IEEE Trans. Cloud Comput.

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Section: Privacy (Includes Data Access and Data Sharing)mentioning

confidence: 97%

Section: Forensicsmentioning

confidence: 99%

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Cloud Security Engineering: Theory, Practice and Future Research

Choo

Rana

Rajarajan

2017

IEEE Trans. Cloud Comput.

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“…It is also compatible only with the FAT32 file system. It uses a Windows platform for its prototype [23].…”

Section: Forenvisormentioning

confidence: 99%

Digital Forensic Tools for Cloud Computing Environment

Bhagat¹,

Meshram²

2021

ICT With Intelligent Applications

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In general, digital forensics process can be stated as a process of identifying, analyzing and presenting the digital evidence. It comprises activities like identification, preservation, examination, analysis. Complication and complexity in the execution of these activities increase with the size of data. Cloud computing technology exacerbate the situation. Various forensic tools have been developed to improve the performance and efficiency of forensic activities. This paper highlights such digital forensic tools and provides brief information about the forensic tools. This paper examines traditional digital forensic tools helpful for the cloud forensic as well as tools that are specially designed for the cloud environment. It includes commercial as well as open-source tools.

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“…I VMMs can "run directly on the hardware without the" (Qi et al, 2017) need of hosting OS (e.g., ESXi (VMWare, 2009)), and (ii) type II VMMs run on the hosting OS (e.g., KVM (Kivity et al, 2009) or Xen (Barham et al, 2003)). VMs are located within hosts, and the number of available VMs depends on the resource constraints of the host.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Systematic identification of threats in the cloud: A survey

et al. 2019

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When a vulnerability is discovered in a system, some key questions often asked by the security analyst are what threat(s) does it pose, what attacks may exploit it, and which parts of the system it affects. Answers to those questions provide the necessary information for the security assessment and to implement effective countermeasures. In the cloud, this problem is more challenging due to the dynamic characteristics, such as elasticity, virtualization, and migration -changing the attack surface over time. This survey explores threats to the cloud by investigating the linkages between threats, attacks and vulnerabilities, and propose a method to identify threats systematically in the cloud using the threat classifications. First, we trace vulnerabilities to threats by relating vulnerabilities-to-attacks, and then relating attacks-to-threats. We have established the traceability through an extensive literature review and synthesis that resulted in a classification of attacks in the cloud, where we use the Microsoft STRIDE threat modeling approach as a guide for relating attacks to threats. Our approach is the genesis towards a concrete method for systematically identifying potential threats to assets provisioned and managed through the cloud. We demonstrate the approach through its application using a cloud deployment case study scenario.

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ForenVisor: A Tool for Acquiring and Preserving Reliable Data in Cloud Live Forensics

Cited by 32 publications

References 33 publications

Cloud Security Engineering: Theory, Practice and Future Research

Cloud Security Engineering: Theory, Practice and Future Research

Digital Forensic Tools for Cloud Computing Environment

Systematic identification of threats in the cloud: A survey

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