Home Videos Statistical Methods for Analyzing Event Time-Series Data in Digital Forensics

Statistical Methods for Analyzing Event Time-Series Data in Digital Forensics

0
0
984

This CSAFE webinar was presented by Dr. Padhraic Smyth from University of California, Irvine on September 28, 2017.

Description:

Time-series of user-generated events are routinely captured and logged on devices such as computers and mobile phones. This type of data is of increasing interest in forensic investigations. There has been relatively little use of statistical thinking in this context, for a variety of reasons. In this talk we will discuss recent work at UC Irvine (under CSAFE) that has begun to develop statistical techniques to answer basic questions about such data, building on methods such as marked point processes. We will outline the methodological approach and describe results to date on both simulated and real-world data. The talk will conclude with a brief discussion of challenges in this area as well as some thoughts on future research directions.

  • How to Perform Hadoop Forensics

    In this post Chiheb Chebbi shows you how to perform Hadoop forensics. You will learn about…
  • Cloud Forensics: Box

    It seems we really enjoy forensicating desktop apps for cloud services. Last week we start…
  • The Magic of Raw Data Carving

    You have used all of the utilities in your expensive forensic suite, and other programs to…
Load More Related Articles
Load More In Videos

Leave a Reply

Your email address will not be published. Required fields are marked *