St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 5-2019 Automated Teller Machine Ethernet Traffic Identification to Target Forensics Detection of IP Packets Brian Volkmuth
[email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Volkmuth, Brian, "Automated Teller Machine Ethernet Trafficde I ntification to Target Forensics Detection of IP Packets" (2019). Culminating Projects in Information Assurance. 87. https://repository.stcloudstate.edu/msia_etds/87 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact
[email protected]. Automated Teller Machine Ethernet Traffic Identification to Target Forensics Detection of IP Packets by Brian Volkmuth A Starred Paper Submitted to the Graduate Faculty in Partial Fulfillment of the Requirements for the Degree of Master of Science in Information Assurance April, 2019 Starred Paper Committee: Abdullah Abu Hussein, Chairperson Lynn A. Collen Balasubramanian Kasi 2 Abstract Over the last few decades, consumers have become accustom to the convenience of Automatic Teller Machines (ATMs) to transfer funds between accounts, provide account balance information and to withdraw cash from savings, checking, and other account types. Along with the convenience and ease of locating an ATM through mobile bank apps, there has been a significant increase in ATM fraud across the globe. Consumer confidence in the ATM, bank and credit card issuer is greatly impacted by the perceived level of security in ATM transactions and the technology behind them.