You are here

Automation of Email Analysis Using a Database

Title: Automation of Email Analysis Using a Database.
Name(s): Bali, Jasbinder Singh, author
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
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2007.
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: 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.
Identifier: FSU_migr_etd-0996 (IID)
Submitted Note: A Thesis submitted to the Department of Computer Science in partial fulfillment of the requirements for the degree of Masters of Science.
Degree Awarded: Degree Awarded: Fall Semester, 2007..
Date of Defense: Date of Defense: October 10, 2007.
Keywords: Database Automation, Automating Email Analysis, Email Analysis, Automation using a Database
Bibliography Note: Includes bibliographical references.
Advisory committee: Sudhir Aggarwal, Professor Directing Thesis; Zhenhai Duan, Committee Member; Piyush Kumar, Committee Member.
Subject(s): Databases
Information science
Persistent Link to This Record:
Owner Institution: FSU

Choose the citation style.
Bali, J. S. (2007). Automation of Email Analysis Using a Database. Retrieved from