Session 6: Security in Emerging System and Networks SACMAT ’21, June 16–18, 2021, Virtual Event, Spain SCIFFS: Enabling Secure Third-Party Security Analytics using Serverless Computing Isaac Polinsky Pubali Datta North Carolina State University University of Illinois at Urbana-Champaign Raleigh, NC, USA Champaign, IL, USA
[email protected] [email protected] Adam Bates William Enck University of Illinois at Urbana-Champaign North Carolina State University Champaign, IL, USA Raleigh, NC, USA
[email protected] [email protected] Abstract Keywords Third-party security analytics allow companies to outsource threat Serverless Computing; Security Analytics; Decentralized Informa- monitoring tasks to teams of experts and avoid the costs of in- tion Flow Control house security operations centers. By analyzing telemetry data ACM Reference Format: from many clients these services are able to ofer enhanced insights, Isaac Polinsky, Pubali Datta, Adam Bates, and William Enck. 2021. SCIFFS: identifying global trends and spotting threats before they reach Enabling Secure Third-Party Security Analytics using Serverless Computing. most customers. Unfortunately, the aggregation that drives these In Proceedings of the 26th ACM Symposium on Access Control Models and insights simultaneously risks exposing sensitive client data if it is Technologies (SACMAT ’21), June 16–18, 2021, Virtual Event, Spain. ACM, not properly sanitized and tracked. New York, NY, USA, 12 pages. https://doi.org/10.1145/3450569.3463567 In this work, we present SCIFFS, an automated information fow monitoring framework for preventing sensitive data exposure in 1 Introduction third-party security analytics platforms. SCIFFS performs decen- A key component of maintaining a good security posture is contin- tralized information fow control over customer data in a serverless uously monitoring your environment for security-related events.