| Title | Digital Evidence Data Collection: Cloud Challenges |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Syed, Saba, Anu, Vaibhav |
| Conference Name | 2021 IEEE International Conference on Big Data (Big Data) |
| Date Published | dec |
| Keywords | Big Data, big data security in the cloud, cloud computing, cloud computing security, Conferences, cybersecurity, digital forensics, literature survey, Metrics, Organizations, pubcrawl, resilience, Resiliency, Scalability, Taxonomy |
| Abstract | Cloud computing has become ubiquitous in the modern world and has offered a number of promising and transformative technological opportunities. However, organizations that use cloud platforms are also concerned about cloud security and new threats that arise due to cloud adoption. Digital forensic investigations (DFI) are undertaken when a security incident (i.e., successful attack) has been identified. Forensics data collection is an integral part of DFIs. This paper presents results from a survey of existing literature on challenges related to forensics data collection in cloud. A taxonomy of major challenges was developed to help organizations understand and thus better prepare for forensics data collection. |
| DOI | 10.1109/BigData52589.2021.9672014 |
| Citation Key | syed_digital_2021 |
Digital Evidence Data Collection: Cloud Challenges