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Memory forensics technology is valuable for not only analyzing malicious code and system vulnerability but also generating evidence used in court. Hereby, this technology has been extensively used in many fields. However, few research is carried out on Virtual machine (VM) for the XenServer platform. In this paper, we focus on an effective VM memory analysis framework for the XenServer platform using a virtual machine. By employing a hardware-based method on the host machine, its entire physical memory can be achieved and saved as an image file. This method of acquisition has no influence on the VMs and ensures the integrity of evidence. Through deep analysis of memory content, VMs running inside the host machine can be detected and their high-level semantic information can be also extracted. Hereby, using our solution, the comprehensive status information of target VMs can be automatically reconstructed without any prior knowledge. Experiments indicate that our method can handle the host machine and VMs of the mainstream operating system (OS) versions and is reliably resistant to attacks.

Software definition networking is a revolutionary network architecture, which realizes the separation of the control plane and data plane of a network. While providing the centralized controllability and the software programmability, the network itself is encountering many security problems. In order to solve the problem of security threats in SDN networks, there are different layers of unique security challenges and the relevant research on SDN security problems. This paper introduces the depth learning technology into the field of security threat detection in SDN, and propose a security threat detection framework based on depth learning.The framework is based on the research on model establishment, abnormal behavior recognition and decision algorithm design. The software system based on physical memory analysis is under development in SDN. The system verifies the feasibility of this framework, and to finally generate the work plan on SDN infrastructure.

Marine engine simulator is broadly used in maritime education and training. Maritime education and training institutions usually use this facility to cultivate the hands-on ability and fault-treat ability of marine engineers and students. In this study, the structure and main function of DMS-2005 marine engine simulator is briefly introduced, several teaching methods are discussed. By using Delphi method and AHP method, a comprehensive evaluation system is built and the competence of marine engineers is assessed. After analyzing the calculating data, some conclusions can be drawn: comprehensive evaluation system could be used to assess marine engineer's competence; the training of marine engine simulator is propitious to enhance marine engineers' integrated ability, especially on the aspect of judgment of abnormal situation capacity, emergency treatment ability and safe operation ability.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor.The authors have plagiarized part of a paper that had already appeared in Digital Investigation, 8 (2011) 3–22. http://dx.doi.org/10.1016/j.diin.2011.06.002. One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.