| 000 | 03446nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-60701-1 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112332.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240601s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031607011 _9978-3-031-60701-1 |
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| 024 | 7 |
_a10.1007/978-3-031-60701-1 _2doi |
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| 050 | 4 | _aTK5105.8857 | |
| 072 | 7 |
_aUT _2bicssc |
|
| 072 | 7 |
_aCOM043000 _2bisacsh |
|
| 072 | 7 |
_aUT _2thema |
|
| 100 | 1 |
_aSagar, Subhash. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979341 |
|
| 245 | 1 | 0 |
_aTowards Resilient Social IoT Sensors and Networks _h[electronic resource] : _bA Trust Management Approach / _cby Subhash Sagar, Adnan Mahmood, Quan Z. Sheng. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aXIV, 114 p. 38 illus., 37 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSmart Sensors, Measurement and Instrumentation, _x2194-8410 ; _v48 |
|
| 505 | 0 | _aIntroduction -- Understanding the Trustworthiness Management in the SIoT Network -- Towards Trust Quantification in the SIoT Network -- A Machine Learning based Trust Computational Heuristic for the SIoT Network -- Towards Trustworthy Object Classification in the SIoT Network -- Summary and Future Directions of the Book. | |
| 520 | _aThis book, at first, explores the evolution of the IoT to SIoT and offers a comprehensive understanding of SIoT and trust management vis-à-vis SIoT. It subsequently envisages trust quantification models by employing key SIoT-specific trust features, including SIoT relationships (e.g., friendships, working relationships, and community-of-interest), direct observations, and indirect observations, to augment the idea of trust quantification of a SIoT object. Furthermore, diverse trust aggregation techniques, i.e., conventional weighted sum, machine learning, and artificial neural networks, are proposed so as to address the challenges of the trust aggregation. Finally, the book outlines the future research directions for emphasizing the importance of trustworthiness management in the evolving notion of the SIoT. | ||
| 650 | 0 |
_aInternet of things. _958845 |
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| 650 | 0 | _aMaterials. | |
| 650 | 0 |
_aDetectors. _966510 |
|
| 650 | 0 |
_aMachine learning. _955059 |
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| 650 | 1 | 4 |
_aInternet of Things. _958845 |
| 650 | 2 | 4 |
_aSensors and biosensors. _966512 |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 700 | 1 |
_aMahmood, Adnan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979342 |
|
| 700 | 1 |
_aSheng, Quan Z. _eauthor. _0(orcid)0000-0002-3326-4147 _1https://orcid.org/0000-0002-3326-4147 _4aut _4http://id.loc.gov/vocabulary/relators/aut _979343 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031607004 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031607028 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031607035 |
| 830 | 0 |
_aSmart Sensors, Measurement and Instrumentation, _x2194-8410 ; _v48 _967547 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-60701-1 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 999 |
_c61029 _d61029 |
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