Benchmarking Hyper-Breakpoints for Efficient Virtual Machine Introspection Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/electronics14030534
Virtual Machine Introspection (VMI) is a powerful technology used to detect and analyze malicious software inside Virtual Machines (VMs) from outside. Asynchronously accessing the VM’s memory can be insufficient for efficiently monitoring what is happening inside of a VM. Active VMI introduces breakpoints to intercept VM execution at relevant points. Especially for frequently visited breakpoints, and even more so for production systems, it is crucial to keep their performance overhead as low as possible. In this paper, we provide a systematization of existing VMI breakpoint implementation variants, propose workloads to quantify the different performance penalties of breakpoints, and implement them in the benchmarking application bpbench. We used this benchmark to measure that, on an Intel Core i5 7300U, SmartVMI’s breakpoints take around 81 µs to handle, and keeping the breakpoint invisible costs an additional 21 µs per read access. The availability of bpbench facilitates the comparison of disparate breakpoint mechanisms and their performance optimization with immediate feedback.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics14030534
- OA Status
- gold
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406903029
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406903029Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics14030534Digital Object Identifier
- Title
-
Benchmarking Hyper-Breakpoints for Efficient Virtual Machine IntrospectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-28Full publication date if available
- Authors
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Lukas Beierlieb, Andrea Schmitz, Raphael Springer, Claudia U. Dietrich, Lukas IffländerList of authors in order
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https://doi.org/10.3390/electronics14030534Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/electronics14030534Direct OA link when available
- Concepts
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Benchmarking, Introspection, Breakpoint, Computer science, Virtual machine, Artificial intelligence, Human–computer interaction, Operating system, Psychology, Business, Cognitive psychology, Chemistry, Biochemistry, Marketing, Chromosomal translocation, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.detect | 10 |
| abstract_inverted_index.inside | 15, 35 |
| abstract_inverted_index.memory | 25 |
| abstract_inverted_index.paper, | 76 |
| abstract_inverted_index.Machine | 1 |
| abstract_inverted_index.Virtual | 0, 16 |
| abstract_inverted_index.access. | 138 |
| abstract_inverted_index.analyze | 12 |
| abstract_inverted_index.bpbench | 142 |
| abstract_inverted_index.crucial | 64 |
| abstract_inverted_index.handle, | 125 |
| abstract_inverted_index.keeping | 127 |
| abstract_inverted_index.measure | 110 |
| abstract_inverted_index.points. | 49 |
| abstract_inverted_index.propose | 87 |
| abstract_inverted_index.provide | 78 |
| abstract_inverted_index.visited | 53 |
| abstract_inverted_index.Machines | 17 |
| abstract_inverted_index.bpbench. | 104 |
| abstract_inverted_index.existing | 82 |
| abstract_inverted_index.outside. | 20 |
| abstract_inverted_index.overhead | 69 |
| abstract_inverted_index.powerful | 6 |
| abstract_inverted_index.quantify | 90 |
| abstract_inverted_index.relevant | 48 |
| abstract_inverted_index.software | 14 |
| abstract_inverted_index.systems, | 61 |
| abstract_inverted_index.accessing | 22 |
| abstract_inverted_index.benchmark | 108 |
| abstract_inverted_index.different | 92 |
| abstract_inverted_index.disparate | 147 |
| abstract_inverted_index.execution | 46 |
| abstract_inverted_index.feedback. | 156 |
| abstract_inverted_index.happening | 34 |
| abstract_inverted_index.immediate | 155 |
| abstract_inverted_index.implement | 98 |
| abstract_inverted_index.intercept | 44 |
| abstract_inverted_index.invisible | 130 |
| abstract_inverted_index.malicious | 13 |
| abstract_inverted_index.penalties | 94 |
| abstract_inverted_index.possible. | 73 |
| abstract_inverted_index.variants, | 86 |
| abstract_inverted_index.workloads | 88 |
| abstract_inverted_index.Especially | 50 |
| abstract_inverted_index.additional | 133 |
| abstract_inverted_index.breakpoint | 84, 129, 148 |
| abstract_inverted_index.comparison | 145 |
| abstract_inverted_index.frequently | 52 |
| abstract_inverted_index.introduces | 41 |
| abstract_inverted_index.mechanisms | 149 |
| abstract_inverted_index.monitoring | 31 |
| abstract_inverted_index.production | 60 |
| abstract_inverted_index.technology | 7 |
| abstract_inverted_index.application | 103 |
| abstract_inverted_index.breakpoints | 42, 119 |
| abstract_inverted_index.efficiently | 30 |
| abstract_inverted_index.facilitates | 143 |
| abstract_inverted_index.performance | 68, 93, 152 |
| abstract_inverted_index.SmartVMI’s | 118 |
| abstract_inverted_index.availability | 140 |
| abstract_inverted_index.benchmarking | 102 |
| abstract_inverted_index.breakpoints, | 54, 96 |
| abstract_inverted_index.insufficient | 28 |
| abstract_inverted_index.optimization | 153 |
| abstract_inverted_index.Introspection | 2 |
| abstract_inverted_index.Asynchronously | 21 |
| abstract_inverted_index.implementation | 85 |
| abstract_inverted_index.systematization | 80 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.02397983 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |