"Machine Learning Advances New Tool to Fight Cybercrime in the Cloud"

The increasing use of cloud applications such as Dropbox and Google Drive has raised concerns about the use of cloud information by cybercriminals in performance of illegal activities. A cloud forensic model has been developed by researchers at Purdue University, which can help defenders gather evidence of cybercrimes in relation to child exploitation, illegal drug trafficking, and more. The tool uses deep learning models to classify and analyze transactions uploaded to cloud storage applications that indicate the performance of illegal cloud activities. This article continues to discuss the Purdue system's use of deep learning models to fight cybercrime in the cloud as well as the importance of automating the processes of digital forensics and incident response.

Purdue University reports "Machine Learning Advances New Tool to Fight Cybercrime in the Cloud"