This work presents ProvP4, a provenance-based cross-plane observer designed to observe and analyze stateful data plane attacks in programmable networks, and demonstrates that ProvP4 imposes minimal overhead in terms of storage and performance, while significantly enhancing security analysis capabilities.
Provenance aims to capture the origins, transformations, and interactions of system objects for security and forensic applications. Existing provenance capture approaches still face major challenges and are not yet ready for production environments. In this paper, we first analyze the main kernel telemetry capture appr...
Paul R. B. Houssel, Olivier Levillain, Sylvie Laniepce et al.· 0 citations
This paper presents an architecture for verifiable container image distribution that addresses key-management challenges and enables policy-enforced admission-time verification, and implements a proof-of-concept integrated with GitHub Actions and GitLab Runners that mitigates common supply-chain attacks under a realist...
N. Fotiou, Lefteris Georgiadis, Ignacio Lacalle et al.· 0 citations
: The decentralized nature of microservice architectures introduces privacy challenges that exceed the capabilities of traditional static auditing. To address this, we present a real-time privacy quantification framework based on the Privacy-sensitive Data Categorization (PsDC) model. By combining Layer 7 Deep Packet I...
Catarina Silva, Bernardo Falé, Paulo Barraca et al.· International Conference on...· 0 citations
The use of high-throughput data ingestion pipelines that can constantly amass and process data collected by heterogeneous sources into a centralized or distributed data storage system is increasingly becoming the cornerstone of modern enterprise data ecosystems. Since these pipelines handle delicate personally identifi...
Shreyansh Sharma· International journal of com...· 0 citations
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