Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894823007> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2894823007 endingPage "10" @default.
- W2894823007 startingPage "1" @default.
- W2894823007 abstract "By utilizing the radio channel information to detect spoofing attacks, channel based physical layer (PHY-layer) enhanced authentication can be exploited in light-weight securing 5G wireless communications. One major obstacle in the application of the PHY-layer authentication is its detection rate. In this paper, a novel authentication method is developed to detect spoofing attacks without a special test threshold while a trained model is used to determine whether the user is legal or illegal. Unlike the threshold test PHY-layer authentication method, the proposed AdaBoost based PHY-layer authentication algorithm increases the authentication rate with one-dimensional test statistic feature. In addition, a two-dimensional test statistic features authentication model is presented for further improvement of detection rate. To evaluate the feasibility of our algorithm, we implement the PHY-layer spoofing detectors in multiple-input multiple-output (MIMO) system over universal software radio peripherals (USRP). Extensive experiences show that the proposed methods yield the high performance without compromising the computing complexity." @default.
- W2894823007 created "2018-10-12" @default.
- W2894823007 creator A5010479652 @default.
- W2894823007 creator A5029265765 @default.
- W2894823007 creator A5035607374 @default.
- W2894823007 creator A5042250922 @default.
- W2894823007 creator A5063800558 @default.
- W2894823007 creator A5068377419 @default.
- W2894823007 creator A5071153569 @default.
- W2894823007 date "2018-10-02" @default.
- W2894823007 modified "2023-10-13" @default.
- W2894823007 title "Physical-Layer Channel Authentication for 5G via Machine Learning Algorithm" @default.
- W2894823007 cites W120446953 @default.
- W2894823007 cites W1678356000 @default.
- W2894823007 cites W1995524702 @default.
- W2894823007 cites W2012672797 @default.
- W2894823007 cites W2021063159 @default.
- W2894823007 cites W2024046085 @default.
- W2894823007 cites W2047892990 @default.
- W2894823007 cites W2058507421 @default.
- W2894823007 cites W2110221314 @default.
- W2894823007 cites W2167296824 @default.
- W2894823007 cites W2343448572 @default.
- W2894823007 cites W2344173564 @default.
- W2894823007 cites W2512868957 @default.
- W2894823007 cites W2559116103 @default.
- W2894823007 cites W2750173078 @default.
- W2894823007 cites W2768182340 @default.
- W2894823007 cites W4255390251 @default.
- W2894823007 doi "https://doi.org/10.1155/2018/6039878" @default.
- W2894823007 hasPublicationYear "2018" @default.
- W2894823007 type Work @default.
- W2894823007 sameAs 2894823007 @default.
- W2894823007 citedByCount "20" @default.
- W2894823007 countsByYear W28948230072019 @default.
- W2894823007 countsByYear W28948230072020 @default.
- W2894823007 countsByYear W28948230072021 @default.
- W2894823007 countsByYear W28948230072022 @default.
- W2894823007 countsByYear W28948230072023 @default.
- W2894823007 crossrefType "journal-article" @default.
- W2894823007 hasAuthorship W2894823007A5010479652 @default.
- W2894823007 hasAuthorship W2894823007A5029265765 @default.
- W2894823007 hasAuthorship W2894823007A5035607374 @default.
- W2894823007 hasAuthorship W2894823007A5042250922 @default.
- W2894823007 hasAuthorship W2894823007A5063800558 @default.
- W2894823007 hasAuthorship W2894823007A5068377419 @default.
- W2894823007 hasAuthorship W2894823007A5071153569 @default.
- W2894823007 hasBestOaLocation W28948230071 @default.
- W2894823007 hasConcept C11413529 @default.
- W2894823007 hasConcept C127162648 @default.
- W2894823007 hasConcept C148417208 @default.
- W2894823007 hasConcept C167900197 @default.
- W2894823007 hasConcept C19247436 @default.
- W2894823007 hasConcept C207987634 @default.
- W2894823007 hasConcept C31258907 @default.
- W2894823007 hasConcept C38652104 @default.
- W2894823007 hasConcept C41008148 @default.
- W2894823007 hasConcept C41918916 @default.
- W2894823007 hasConcept C555944384 @default.
- W2894823007 hasConcept C76155785 @default.
- W2894823007 hasConceptScore W2894823007C11413529 @default.
- W2894823007 hasConceptScore W2894823007C127162648 @default.
- W2894823007 hasConceptScore W2894823007C148417208 @default.
- W2894823007 hasConceptScore W2894823007C167900197 @default.
- W2894823007 hasConceptScore W2894823007C19247436 @default.
- W2894823007 hasConceptScore W2894823007C207987634 @default.
- W2894823007 hasConceptScore W2894823007C31258907 @default.
- W2894823007 hasConceptScore W2894823007C38652104 @default.
- W2894823007 hasConceptScore W2894823007C41008148 @default.
- W2894823007 hasConceptScore W2894823007C41918916 @default.
- W2894823007 hasConceptScore W2894823007C555944384 @default.
- W2894823007 hasConceptScore W2894823007C76155785 @default.
- W2894823007 hasFunder F4320321001 @default.
- W2894823007 hasLocation W28948230071 @default.
- W2894823007 hasLocation W28948230072 @default.
- W2894823007 hasOpenAccess W2894823007 @default.
- W2894823007 hasPrimaryLocation W28948230071 @default.
- W2894823007 hasRelatedWork W1938294679 @default.
- W2894823007 hasRelatedWork W1964664118 @default.
- W2894823007 hasRelatedWork W2149510322 @default.
- W2894823007 hasRelatedWork W2151833482 @default.
- W2894823007 hasRelatedWork W2949605195 @default.
- W2894823007 hasRelatedWork W2966098389 @default.
- W2894823007 hasRelatedWork W3046094680 @default.
- W2894823007 hasRelatedWork W4230625061 @default.
- W2894823007 hasRelatedWork W4283217267 @default.
- W2894823007 hasRelatedWork W4302779852 @default.
- W2894823007 hasVolume "2018" @default.
- W2894823007 isParatext "false" @default.
- W2894823007 isRetracted "false" @default.
- W2894823007 magId "2894823007" @default.
- W2894823007 workType "article" @default.