首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Cloud Data Imager: A unified answer to remote acquisition of cloud storage areas
Institution:1. Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia;2. The School of Computing, Science & Engineering, Newton Building, University of Salford, Salford, Greater Manchester, United Kingdom;3. Department of Information Systems and Cyber Security, University of Texas at San Antonio, USA;4. Information Assurance Research Group, University of South Australia, Adelaide, South Australia, Australia;5. School of Computer Science, China University of Geosciences, Wuhan, China;6. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;7. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
Abstract:The pervasive availability of cheap cloud computing services for data storage, either as persistence layer to applications or as mere object store dedicated to final users, is remarkably increasing the chance that cloud platforms potentially host evidence of criminal activity. Once presented a proper court order, cloud providers would be in the best position for extracting relevant data from their platforms in the most reliable and complete way. However, this kind of services are not so widespread to date and, therefore, the need to adopt a structured and forensically sound approach calls for innovative weaponry which leverage the data harvesting capabilities offered by the low level program interfaces exposed by providers. This paper describes the concepts and internals of the Cloud Data Imager Library, a mediation layer that offers a read only access to files and metadata of selected remote folders and currently supports access to Dropbox, Google Drive and Microsoft Skydrive storage facilities. A demo application has been build on top of the library which allows directory browsing, file content view and imaging of folder trees with export to widespread forensic formats.
Keywords:Cloud storage  Remote forensic acquisition  Dropbox  Microsoft Skydrive  Google Drive  Cloud computing  Computer forensics  Interoperability  ISO/IEC 27037  Virtual volume
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号