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. / A Thesis submitted to the Department of Computer Science in partial fulfillment of
the requirements for the degree of Masters of Science. / Degree Awarded: Fall Semester, 2007.. / Date of Defense: October 10, 2007. / Database Automation, Automating Email Analysis, Email Analysis, Automation using a Database / Includes bibliographical references. / Sudhir Aggarwal, Professor Directing Thesis; Zhenhai Duan, Committee Member; Piyush Kumar, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_169211 |
| Contributors | Bali, Jasbinder Singh (authoraut), Aggarwal, Sudhir (professor directing thesis), Duan, Zhenhai (committee member), Kumar, Piyush (committee member), Department of Computer Science (degree granting department), Florida State University (degree granting institution) |
| Publisher | Florida State University, Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource, computer, application/pdf |
| Rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. |
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