|
|
Type of Document Thesis Author Bali, Jasbinder Singh Author's Email Address bali@cs.fsu.edu URN etd-11062007-132440 Title Automation of Email Analysis Using a Database. Degree Master of Science Department Computer Science, Department of Advisory Committee
Advisor Name Title Sudhir Aggarwal Committee Chair Piyush Kumar Committee Member Zhenhai Duan Committee Member Keywords
- Database Automation
- Automating Email Analysis
- Email Analysis
- Automation using a Database
Date of Defense 2007-10-08 Availability unrestricted Abstract Phishing scams which use emails to trick users into revealing personal data have become pandemic in the world. Analyzing such emails to extract maximum information about them and make intelligent forensic decisions based on such an analysis is a major task for law enforcement agencies. To date such analysis is done by manually checking various headers of a raw email and running various Unix tools on its constituent parts such as IP addresses, links, domain names. This thesis describes the design and development of a database system used for automation of a system called the Undercover Multipurpose Anti-Spoofing Kit (UnMASK) that will enable investigators to reduce the time and effort needed
for digital forensic investigations of email-based crimes. It also describes how the database
is used to perform such automation. UnMASK uses a database for organizing a work flow to automatically launch Unix tools to collect additional information from the Internet. The
retrieved information is in turn added to the database. UnMASK is a working system. To the best of our knowledge, UnMASK is the first comprehensive system that can automate the process of analyzing emails using a database and then generate forensic reports that can be used for subsequent investigation and prosecution.
Files
Filename Size Approximate Download Time (Hours:Minutes:Seconds)
28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access BaliJThesis.pdf 1.28 Mb 00:05:54 00:03:02 00:02:39 00:01:19 00:00:06