Matches in SemOpenAlex for { <https://semopenalex.org/work/W2292977173> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2292977173 endingPage "25" @default.
- W2292977173 startingPage "3" @default.
- W2292977173 abstract "Recent work demonstrated hardware-based online malware detection using only low-level features. This detector is envisioned as a first line of defense that prioritizes the application of more expensive and more accurate software detectors. Critical to such a framework is the detection performance of the hardware detector. In this paper, we explore the use of both specialized detectors and ensemble learning techniques to improve performance of the hardware detector. The proposed detectors reduce the false positive rate by more than half compared to a single detector, while increasing the detection rate. We also contribute approximate metrics to quantify the detection overhead, and show that the proposed detectors achieve more than 11x reduction in overhead compared to a software only detector (1.87x compared to prior work), while improving detection time. Finally, we characterize the hardware complexity by extending an open core and synthesizing it on an FPGA platform, showing that the overhead is minimal." @default.
- W2292977173 created "2016-06-24" @default.
- W2292977173 creator A5021863129 @default.
- W2292977173 creator A5035527657 @default.
- W2292977173 creator A5037831461 @default.
- W2292977173 creator A5059614371 @default.
- W2292977173 creator A5066100959 @default.
- W2292977173 date "2015-01-01" @default.
- W2292977173 modified "2023-09-30" @default.
- W2292977173 title "Ensemble Learning for Low-Level Hardware-Supported Malware Detection" @default.
- W2292977173 cites W110909300 @default.
- W2292977173 cites W1497883910 @default.
- W2292977173 cites W1534477342 @default.
- W2292977173 cites W1832126028 @default.
- W2292977173 cites W1965018420 @default.
- W2292977173 cites W1973211701 @default.
- W2292977173 cites W1988541877 @default.
- W2292977173 cites W2000034060 @default.
- W2292977173 cites W2024170198 @default.
- W2292977173 cites W2034053858 @default.
- W2292977173 cites W2034938003 @default.
- W2292977173 cites W2036853599 @default.
- W2292977173 cites W2056933141 @default.
- W2292977173 cites W2122478643 @default.
- W2292977173 cites W2128420091 @default.
- W2292977173 cites W2130802299 @default.
- W2292977173 cites W2131523719 @default.
- W2292977173 cites W2141577524 @default.
- W2292977173 cites W2162275200 @default.
- W2292977173 cites W2164163973 @default.
- W2292977173 cites W2166844173 @default.
- W2292977173 cites W28412257 @default.
- W2292977173 cites W3098623025 @default.
- W2292977173 cites W36091977 @default.
- W2292977173 cites W4229671854 @default.
- W2292977173 cites W4245410964 @default.
- W2292977173 doi "https://doi.org/10.1007/978-3-319-26362-5_1" @default.
- W2292977173 hasPublicationYear "2015" @default.
- W2292977173 type Work @default.
- W2292977173 sameAs 2292977173 @default.
- W2292977173 citedByCount "66" @default.
- W2292977173 countsByYear W22929771732016 @default.
- W2292977173 countsByYear W22929771732017 @default.
- W2292977173 countsByYear W22929771732018 @default.
- W2292977173 countsByYear W22929771732019 @default.
- W2292977173 countsByYear W22929771732020 @default.
- W2292977173 countsByYear W22929771732021 @default.
- W2292977173 countsByYear W22929771732022 @default.
- W2292977173 countsByYear W22929771732023 @default.
- W2292977173 crossrefType "book-chapter" @default.
- W2292977173 hasAuthorship W2292977173A5021863129 @default.
- W2292977173 hasAuthorship W2292977173A5035527657 @default.
- W2292977173 hasAuthorship W2292977173A5037831461 @default.
- W2292977173 hasAuthorship W2292977173A5059614371 @default.
- W2292977173 hasAuthorship W2292977173A5066100959 @default.
- W2292977173 hasBestOaLocation W22929771732 @default.
- W2292977173 hasConcept C111919701 @default.
- W2292977173 hasConcept C149635348 @default.
- W2292977173 hasConcept C2777904410 @default.
- W2292977173 hasConcept C2779960059 @default.
- W2292977173 hasConcept C41008148 @default.
- W2292977173 hasConcept C42935608 @default.
- W2292977173 hasConcept C541664917 @default.
- W2292977173 hasConcept C76155785 @default.
- W2292977173 hasConcept C79403827 @default.
- W2292977173 hasConcept C9390403 @default.
- W2292977173 hasConcept C94915269 @default.
- W2292977173 hasConceptScore W2292977173C111919701 @default.
- W2292977173 hasConceptScore W2292977173C149635348 @default.
- W2292977173 hasConceptScore W2292977173C2777904410 @default.
- W2292977173 hasConceptScore W2292977173C2779960059 @default.
- W2292977173 hasConceptScore W2292977173C41008148 @default.
- W2292977173 hasConceptScore W2292977173C42935608 @default.
- W2292977173 hasConceptScore W2292977173C541664917 @default.
- W2292977173 hasConceptScore W2292977173C76155785 @default.
- W2292977173 hasConceptScore W2292977173C79403827 @default.
- W2292977173 hasConceptScore W2292977173C9390403 @default.
- W2292977173 hasConceptScore W2292977173C94915269 @default.
- W2292977173 hasLocation W22929771731 @default.
- W2292977173 hasLocation W22929771732 @default.
- W2292977173 hasOpenAccess W2292977173 @default.
- W2292977173 hasPrimaryLocation W22929771731 @default.
- W2292977173 hasRelatedWork W1508811950 @default.
- W2292977173 hasRelatedWork W2146265231 @default.
- W2292977173 hasRelatedWork W2282038838 @default.
- W2292977173 hasRelatedWork W2373066471 @default.
- W2292977173 hasRelatedWork W2473740624 @default.
- W2292977173 hasRelatedWork W2789718247 @default.
- W2292977173 hasRelatedWork W2793420030 @default.
- W2292977173 hasRelatedWork W3094426418 @default.
- W2292977173 hasRelatedWork W3151483946 @default.
- W2292977173 hasRelatedWork W4366380722 @default.
- W2292977173 isParatext "false" @default.
- W2292977173 isRetracted "false" @default.
- W2292977173 magId "2292977173" @default.
- W2292977173 workType "book-chapter" @default.