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Runtime Verification with Linux eBPF

Authors: Lakicevic, Nemanja;

Runtime Verification with Linux eBPF

Abstract

Abstract As software systems become increasingly complex, there is a growing need for better tools and concepts to analyse and understand them. This requires practical instrumentation tools that can provide safe and efficient insights into running systems. Tools that enable better ways of reasoning about systems are required, especially as their state and behaviour change over time. Runtime verification is a promising field of research, which focuses on rigorously specifying properties of software systems and creating corresponding automata-based monitors. It positions itself as a lightweight formal method, by verifying whether the system under scrutiny satisfies specification under runtime. New observability and security enforcement tools are emerging in parallel. A novel tracing framework within the Linux ecosystem, eBPF, has quickly garnered attention for its to its versatility and effective tracing. This thesis explores the use of Linux eBPF for conducting runtime verification, and presents dottobpf, a tool which generates eBPF programs from three-valued LTL specification. The effectiveness of the tool, as well as suitability of eBPF for Runtime Verification is evaluated through the analysis of both single- and multi-process systems.

Country
Norway
Related Organizations
Keywords

instrumentation, formal methods, libbpf, automata, bpf, tracing, linear temporal logic, 004, 620, bpfcore, bpftrace, three-valued ltl, kernel, runtime verification, linux, monitors, ebpf, ltl

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green