Rock Stevens (University of Maryland), Faris Bugra Kokulu (Arizona State University), Adam Doupé (Arizona State University), Michelle L. Mazurek (University of Maryland)

Organizations that provide essential services such as electricity, healthcare, and secure financial transactions are required to use digital-security compliance programs to establish a baseline of minimum security. Unfortunately, these compliance programs are known to suffer from a multitude of issues (both in how they are written and in how organizations implement them), resulting in organizations implementing their own security measures to fill actual or perceived compliance gaps. In this study, we survey 40 security professionals from six U.S. essential-service sectors to gain insight into how organizations complement compliance to fix perceived security gaps, which measures worked particularly well, and how their organizations prioritize and evaluate the measures they adopt. We find that organizations complement compliance programs often, with 37 of 40 participants confirming that their organizations have gone beyond what they perceive as mandated compliance measures to mitigate otherwise unaddressed risks. While participants were generally positive about these perceived complementary measures, they also reported challenges related to poor management, information saturation, and difficulty keeping complementary measures up-to-date and relevant. Based on these results, we recommend that compliance standards directly integrate guidance for carefully managing and auditing any perceived complementary measures that an organization chooses to implement and that organizations carefully plan end-to-end deployment and operation before implementing these measures.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 55 ) ) ) [post__not_in] => Array ( [0] => 8555 ) )

DRIVETRUTH: Automated Autonomous Driving Dataset Generation for Security Applications

Raymond Muller (Purdue University), Yanmao Man (University of Arizona), Z. Berkay Celik (Purdue University), Ming Li (University of Arizona) and Ryan Gerdes (Virginia Tech)

Read More

FedCRI: Federated Mobile Cyber-Risk Intelligence

Hossein Fereidooni (Technical University of Darmstadt), Alexandra Dmitrienko (University of Wuerzburg), Phillip Rieger (Technical University of Darmstadt), Markus Miettinen (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Felix Madlener (KOBIL)

Read More

Interpretable Federated Transformer Log Learning for Cloud Threat Forensics

Gonzalo De La Torre Parra (University of the Incarnate Word, TX, USA), Luis Selvera (Secure AI and Autonomy Lab, The University of Texas at San Antonio, TX, USA), Joseph Khoury (The Cyber Center For Security and Analytics, University of Texas at San Antonio, TX, USA), Hector Irizarry (Raytheon, USA), Elias Bou-Harb (The Cyber Center For…

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)