Anomaly Detection on System Generated Logs—A Survey Study

Jose, Jisha M.; Reeja, S. R.

doi:10.1007/978-981-16-1866-6_59

Cited by 6 publications

(1 citation statement)

References 18 publications

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“…For example, profiling instruments a program in order to retrieve information about performance or resource consumption [13] or examine the cause of possible deadlocks in the presence of multiple threads [12], [40]. A program can also be instrumented manually using logging statements [21]; the resulting logs can be analyzed to reveal anomalies in the operation of a system [32], process telemetry or troubleshoot problems [15]. Runtime verification evaluates formal properties related to the correctness of a running program as its execution unfolds [18].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing

Soueidi,

Falcone,

Hallé

2023

2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

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This paper presents a flexible and modular approach to dynamic program analysis for JVM-based languages, aiming to address the limitations of existing tools, in particular their limited expressivity and tight coupling between instrumentation and analysis. The proposed solution decouples these two processes using BISM, a lightweight instrumentation language, and BeepBeep, a complex event processing engine. This novel combination enhances expressiveness, promotes reusability, and integrates seamlessly into JVM-based projects. Various analyses such as monitoring, profiling, coverage measurement, and complex event generation are demonstrated, showcasing the approach's flexibility.

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