Seth Hastings, Tyler Moore, Corey Bolger, Philip Schumway (University of Tulsa)

This paper presents a method for reduction and aggregation of raw authentication logs into user-experience focused "event logs". The event logs exclude non-interactive authentication data and capture critical aspects of the authentication experience to deliver a distilled representation of an authentication. This method is demonstrated using real data from a university, spanning three full semesters. Event construction is presented along with several examples to demonstrate the utility of event logs in the context of a Security Operations Center (SOC). Authentication success rates are shown to widely vary, with the bottom 5% of users failing more than one third of authentication events. A proactive SOC could utilize such data to assist struggling users. Event logs can also identify persistently locked out users. 2.5% of the population under study was locked out in a given week, indicating that interventions by SOC analysts to reinstate locked-out users could be manageable. A final application of event logs can identify problematic applications with above average authentication failure rates that spike periodically. It also identifies lapsed applications with no successful authentications, which account for over 50% of unique applications in our sample.

View More Papers

Space-Domain AI Applications need Rigorous Security Risk Analysis

Alexandra Weber (Telespazio Germany GmbH), Peter Franke (Telespazio Germany GmbH)

Read More

Random Spoofing Attack against Scan Matching Algorithm SLAM (Long)

Masashi Fukunaga (MitsubishiElectric), Takeshi Sugawara (The University of Electro-Communications)

Read More

Using Behavior Monitoring to Identify Privacy Concerns in Smarthome...

Atheer Almogbil, Momo Steele, Sofia Belikovetsky (Johns Hopkins University), Adil Inam (University of Illinois at Urbana-Champaign), Olivia Wu (Johns Hopkins University), Aviel Rubin (Johns Hopkins University), Adam Bates (University of Illinois at Urbana-Champaign)

Read More