Computer forensic analysis model for the reconstruction of chain of evidence of volatile memory data

Wang, Feng; Hu, Liang; Hu, Jiejun; Zhao, Kuo

doi:10.1007/s11042-015-2798-8

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…In a virtual machine it necessary to install an operating system, which is responsible for executing applications for the virtual machine users. An example of virtual machine usage can be found in the work of Wang et al (2016) for a computer forensic analysis model for reconstruction of the chain of evidence from volatile memory. Examples of applications are EnCase, FTK, Recuva, R-Studio, Stella Phoenix in the work of Buchanan-Fig.…”

Section: Pre-operation Conceptmentioning

confidence: 99%

Towards a conceptual model for promoting digital forensics experiments

OliveiraJr

Zorzo

Neu

2020

Forensic Science International: Digital Investigation

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Section: Pre-operation Conceptmentioning

confidence: 99%

Towards a conceptual model for promoting digital forensics experiments

OliveiraJr

Zorzo

Neu

2020

Forensic Science International: Digital Investigation

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“…The final two papers are in the smart hardware-based media communication category [3,21]. The study presented by Wang et al in [21] discusses the promising issue relating to digital forensic data from volatile system memory. A computer forensic analysis model for the reconstruction of a chain of evidence of volatile memory data is proposed.…”

Section: Summary Of 2accepted Papersmentioning

confidence: 99%

Guest Editorial: Smart Multimedia Communication Technologies for New-Generation Artificial Intelligence Applications

Hsieh

2016

Multimed Tools Appl

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With the development of the Internet of thing (IoT) mechanism nowadays, the required techniques for artificial intelligence (AI)-related applications will be equipped with a crucial property, which is Bsmart.^Smart multimedia communication technologies are composed of two main technique categories: the smart multimedia processing technique class and the smart communication transmission technique class. These will be the necessity for constructing a new-generation AI application. The technical category of multimedia processing involves lots of types of techniques where pattern recognition, video (or image) processing, and human machine interaction (HCI) are three kernel technique types to establish an AI application under the regulation of the IoT mechanism. Video coding and decoding (codecs) techniques, media streaming techniques, and hardware-based techniques for enhancing media communication play important roles for establishing an efficient communication transmission channel between the user end device and the remote media handling server.BSmart multimedia communication technologies^associated with the new-generation AI application will absolutely be an evolution tendency for the development of multimedia and communication technologies. Following this thought line, we deeply believe that the appropriate term Bsmart^will be given to pattern recognition, video processing, human machine interaction, media streaming, and hardware-based media communication enhancement techniques for building up a smart multimedia communication system.The special issue, BSmart Multimedia Communication Technologies for New-Generation Artificial Intelligence Applications,^acts as a path breaker for exploring new-generation AI applications using multimedia communication technologies with intelligence. We totally received around 30 submissions, and the vast majority of all submissions are significant in Multimed Tools Appl (2016) 75:9665-9668

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An offline parallel architecture for forensic multimedia classification

Spalazzi

Paolanti

Frontoni

2021

Multimed Tools Appl

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Nowadays, the volume of the multimedia heterogeneous evidence presented for digital forensic analysis has significantly increased, thus requiring the application of big data technologies, cloud-based forensics services, as well as Machine Learning (ML) techniques. In digital forensics domain, ML algorithms have been applied for cybercrime investigation such as child abuse investigations, malware classification, and image forensics. This paper addresses this issues and deals with forensic analysis of digital images and videos. In particular, this work aims at proposing a multimedia classification tool with a parallel software architecture for a fast inspection, which is easy to use (to be used by officers during a search), requires limited hardware resources and it is built on an open-source software to limit its costs. Moreover, this tool must be able to quickly inspect multiple devices at a time. When positives are found in a device, such device will be seized for a deeper analysis later in the lab. It will not be seized otherwise, reducing the inconvenience for the suspect as well as the time required for the next analysis phase. As a case study, we focus on the identification of child pornography images. Experimental results show that the proposed architecture is capable of guaranteeing a high recall, a fast process and high performances in real scenarios.

show abstract

Computer forensic analysis model for the reconstruction of chain of evidence of volatile memory data

Cited by 4 publications

References 13 publications

Towards a conceptual model for promoting digital forensics experiments

Towards a conceptual model for promoting digital forensics experiments

Guest Editorial: Smart Multimedia Communication Technologies for New-Generation Artificial Intelligence Applications

An offline parallel architecture for forensic multimedia classification

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