Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377142552> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4377142552 endingPage "103298" @default.
- W4377142552 startingPage "103298" @default.
- W4377142552 abstract "The increasing sophistication in computing capability and sensing technologies have continued to drive the design, development, and growth of the smart technologies commonly known as the IoTs. Nonetheless, the rise and spread of malware in this ecosystem is a pressing societal concern that requires immediate attention. In this paper, we propose a novel technique called Sound Wave Memory Analysis Technique (SWMAT), for fingerprinting IoT devices by converting their dynamic memory traces into sound wave signals using a lossless transformation function from which a unique set of determinable features called Mel Frequency Cepstral Coefficients (MFCCs) are extracted. The overarching objective of this research is to explore offline the effectiveness of using features from memory-encoded sound wave signals for fingerprinting and detecting abnormal changes in IoT devices, which potentially can provide an excellent technique for an on-device Host-Based Intrusion Detection System. Our SWMAT scores the similarity between two sequences of MFCCs using a Dynamic Time Warping distance measure. To evaluate our approach, we developed multiple IoT testbeds and generated 125 MFCC sequences from 20 benign and 5 infected IoT applications. Our results showed that the MFCC features, when leveraged as fingerprints for both Intra and Inter-app similarity, can uniquely distinguish an IoT process and can detect when an IoT process has been hijacked and/or is modified by another malicious code. Furthermore, this empirical result shows our technique’s similarity detection accuracy to be ≈ 95%." @default.
- W4377142552 created "2023-05-21" @default.
- W4377142552 creator A5032852782 @default.
- W4377142552 creator A5063509441 @default.
- W4377142552 creator A5091984707 @default.
- W4377142552 date "2023-09-01" @default.
- W4377142552 modified "2023-10-03" @default.
- W4377142552 title "SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices" @default.
- W4377142552 cites W2086513837 @default.
- W4377142552 cites W2104599106 @default.
- W4377142552 cites W2151043249 @default.
- W4377142552 cites W2191779130 @default.
- W4377142552 cites W2521073554 @default.
- W4377142552 cites W2561342496 @default.
- W4377142552 cites W2790772609 @default.
- W4377142552 cites W2931364255 @default.
- W4377142552 cites W2963893085 @default.
- W4377142552 cites W2968197850 @default.
- W4377142552 cites W2969468102 @default.
- W4377142552 doi "https://doi.org/10.1016/j.cose.2023.103298" @default.
- W4377142552 hasPublicationYear "2023" @default.
- W4377142552 type Work @default.
- W4377142552 citedByCount "0" @default.
- W4377142552 crossrefType "journal-article" @default.
- W4377142552 hasAuthorship W4377142552A5032852782 @default.
- W4377142552 hasAuthorship W4377142552A5063509441 @default.
- W4377142552 hasAuthorship W4377142552A5091984707 @default.
- W4377142552 hasBestOaLocation W43771425521 @default.
- W4377142552 hasConcept C103278499 @default.
- W4377142552 hasConcept C111919701 @default.
- W4377142552 hasConcept C115961682 @default.
- W4377142552 hasConcept C124101348 @default.
- W4377142552 hasConcept C151989614 @default.
- W4377142552 hasConcept C153180895 @default.
- W4377142552 hasConcept C154945302 @default.
- W4377142552 hasConcept C2780762811 @default.
- W4377142552 hasConcept C28490314 @default.
- W4377142552 hasConcept C41008148 @default.
- W4377142552 hasConcept C52622490 @default.
- W4377142552 hasConcept C88516994 @default.
- W4377142552 hasConcept C98045186 @default.
- W4377142552 hasConceptScore W4377142552C103278499 @default.
- W4377142552 hasConceptScore W4377142552C111919701 @default.
- W4377142552 hasConceptScore W4377142552C115961682 @default.
- W4377142552 hasConceptScore W4377142552C124101348 @default.
- W4377142552 hasConceptScore W4377142552C151989614 @default.
- W4377142552 hasConceptScore W4377142552C153180895 @default.
- W4377142552 hasConceptScore W4377142552C154945302 @default.
- W4377142552 hasConceptScore W4377142552C2780762811 @default.
- W4377142552 hasConceptScore W4377142552C28490314 @default.
- W4377142552 hasConceptScore W4377142552C41008148 @default.
- W4377142552 hasConceptScore W4377142552C52622490 @default.
- W4377142552 hasConceptScore W4377142552C88516994 @default.
- W4377142552 hasConceptScore W4377142552C98045186 @default.
- W4377142552 hasFunder F4320311089 @default.
- W4377142552 hasLocation W43771425521 @default.
- W4377142552 hasOpenAccess W4377142552 @default.
- W4377142552 hasPrimaryLocation W43771425521 @default.
- W4377142552 hasRelatedWork W2067172208 @default.
- W4377142552 hasRelatedWork W2068211670 @default.
- W4377142552 hasRelatedWork W2099955251 @default.
- W4377142552 hasRelatedWork W2187343732 @default.
- W4377142552 hasRelatedWork W2295636786 @default.
- W4377142552 hasRelatedWork W2335896301 @default.
- W4377142552 hasRelatedWork W2387699700 @default.
- W4377142552 hasRelatedWork W2531835148 @default.
- W4377142552 hasRelatedWork W3119347171 @default.
- W4377142552 hasRelatedWork W2578092491 @default.
- W4377142552 hasVolume "132" @default.
- W4377142552 isParatext "false" @default.
- W4377142552 isRetracted "false" @default.
- W4377142552 workType "article" @default.