In-Network Probabilistic Monitoring Primitives under the Influence of Adversarial Network Inputs
S A Harish, Krishna S. Kumar, Anibrata Majee, Amogh Bedarakota, Praveen Tammana, Pravein Govindan Kannan, Rinku Shah · 2023
Network management tasks heavily rely on network telemetry data. Programmable data planes provide novel ways to collect this telemetry data efficiently using probabilistic data structures like bloom filters and their variants. Despite the benefits of the data structures (and associated data plane primitives), their exposure increases the attack surface. That is, they are at risk of adversarial network inputs.