Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898876449> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2898876449 abstract "A recent trend in software security has utilized hardware performance counters as a security mechanism for integrity checks as well as malware detection. In this work we have developed two methods to check and validate the runtime integrity of a program to protect against malicious intrusions. The two methods developed utilize Hidden Markov Models and Long Short Term Memory neural networks trained on traces of a program's performance counter data which allows for classification, offline anomaly detection, and online anomaly detection. In our benchmark of embedded software the HMMs achieved a classification accuracy of 100%, while offline anomaly detection achieved an average 98% accuracy with only 1% false positives, and online detection with a heuristic achieved 95% with only 0.38% false positives. On the same embedded software benchmark LSTMs neural networks achieved an offline anomaly detection rate of 100% with no false positives, and an online anomaly accuracy was 98% on average with no false positives." @default.
- W2898876449 created "2018-11-09" @default.
- W2898876449 creator A5003753450 @default.
- W2898876449 creator A5076611650 @default.
- W2898876449 date "2018-08-01" @default.
- W2898876449 modified "2023-10-16" @default.
- W2898876449 title "Hardware Performance Counters for Embedded Software Anomaly Detection" @default.
- W2898876449 cites W1689711448 @default.
- W2898876449 cites W1967561194 @default.
- W2898876449 cites W2034053858 @default.
- W2898876449 cites W2065540707 @default.
- W2898876449 cites W2071289869 @default.
- W2898876449 cites W2088503757 @default.
- W2898876449 cites W2119438786 @default.
- W2898876449 cites W2122646361 @default.
- W2898876449 cites W2170467352 @default.
- W2898876449 cites W2180474751 @default.
- W2898876449 cites W2566209330 @default.
- W2898876449 cites W3007346474 @default.
- W2898876449 cites W4247881240 @default.
- W2898876449 cites W86730287 @default.
- W2898876449 doi "https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00101" @default.
- W2898876449 hasPublicationYear "2018" @default.
- W2898876449 type Work @default.
- W2898876449 sameAs 2898876449 @default.
- W2898876449 citedByCount "9" @default.
- W2898876449 countsByYear W28988764492019 @default.
- W2898876449 countsByYear W28988764492020 @default.
- W2898876449 countsByYear W28988764492021 @default.
- W2898876449 countsByYear W28988764492022 @default.
- W2898876449 countsByYear W28988764492023 @default.
- W2898876449 crossrefType "proceedings-article" @default.
- W2898876449 hasAuthorship W2898876449A5003753450 @default.
- W2898876449 hasAuthorship W2898876449A5076611650 @default.
- W2898876449 hasConcept C111919701 @default.
- W2898876449 hasConcept C121332964 @default.
- W2898876449 hasConcept C124101348 @default.
- W2898876449 hasConcept C12997251 @default.
- W2898876449 hasConcept C13280743 @default.
- W2898876449 hasConcept C153180895 @default.
- W2898876449 hasConcept C154945302 @default.
- W2898876449 hasConcept C173801870 @default.
- W2898876449 hasConcept C185798385 @default.
- W2898876449 hasConcept C205649164 @default.
- W2898876449 hasConcept C23224414 @default.
- W2898876449 hasConcept C26873012 @default.
- W2898876449 hasConcept C2777904410 @default.
- W2898876449 hasConcept C41008148 @default.
- W2898876449 hasConcept C541664917 @default.
- W2898876449 hasConcept C64869954 @default.
- W2898876449 hasConcept C739882 @default.
- W2898876449 hasConceptScore W2898876449C111919701 @default.
- W2898876449 hasConceptScore W2898876449C121332964 @default.
- W2898876449 hasConceptScore W2898876449C124101348 @default.
- W2898876449 hasConceptScore W2898876449C12997251 @default.
- W2898876449 hasConceptScore W2898876449C13280743 @default.
- W2898876449 hasConceptScore W2898876449C153180895 @default.
- W2898876449 hasConceptScore W2898876449C154945302 @default.
- W2898876449 hasConceptScore W2898876449C173801870 @default.
- W2898876449 hasConceptScore W2898876449C185798385 @default.
- W2898876449 hasConceptScore W2898876449C205649164 @default.
- W2898876449 hasConceptScore W2898876449C23224414 @default.
- W2898876449 hasConceptScore W2898876449C26873012 @default.
- W2898876449 hasConceptScore W2898876449C2777904410 @default.
- W2898876449 hasConceptScore W2898876449C41008148 @default.
- W2898876449 hasConceptScore W2898876449C541664917 @default.
- W2898876449 hasConceptScore W2898876449C64869954 @default.
- W2898876449 hasConceptScore W2898876449C739882 @default.
- W2898876449 hasLocation W28988764491 @default.
- W2898876449 hasOpenAccess W2898876449 @default.
- W2898876449 hasPrimaryLocation W28988764491 @default.
- W2898876449 hasRelatedWork W1827256152 @default.
- W2898876449 hasRelatedWork W2065643612 @default.
- W2898876449 hasRelatedWork W2109632706 @default.
- W2898876449 hasRelatedWork W2891652452 @default.
- W2898876449 hasRelatedWork W2898876449 @default.
- W2898876449 hasRelatedWork W3105816646 @default.
- W2898876449 hasRelatedWork W4205474285 @default.
- W2898876449 hasRelatedWork W4280535515 @default.
- W2898876449 hasRelatedWork W4283314094 @default.
- W2898876449 hasRelatedWork W4285603061 @default.
- W2898876449 isParatext "false" @default.
- W2898876449 isRetracted "false" @default.
- W2898876449 magId "2898876449" @default.
- W2898876449 workType "article" @default.