| 000 | 03442nam a22004575i 4500 | ||
|---|---|---|---|
| 999 |
_c383205 _d383205 _x1 |
||
| 001 | 383205 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122053.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221119s2022 si | s |1|| 0|eng d | ||
| 020 | _a9789811690891 | ||
| 024 | 7 |
_a10.1007/978-981-16-9089-1 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQA76.9.A25 _b2022 EB |
|
| 245 | 0 | 0 |
_aSecurity, Privacy and Data Analytics : _bSelect Proceedings of ISPDA 2021 _cedited by Udai Pratap Rao, Sankita J. Patel, Pethuru Raj, Andrea Visconti |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2022 |
|
| 300 |
_a1 recurso en línea (X, 317 páginas) _b146 ilustraciones, 113 ilustraciones a color |
||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aLecture Notes in Electrical Engineering _x1876-1119 _v848 |
|
| 505 | 0 | _aChapter 1: NITG Chain: A Scalable, Private and Permissioned Blockchain with Proof of Reputation Consensus Method -- Chapter 2: Safeguarding Geo-location for Social Media with Local Differential Privacy and l-diversity -- Chapter 3: Detection of False Data Injection Cyber Attack in Smart Grid by Convolutional Neural Network based Deep Learning Technique -- Chapter 4: Democratic After-Market for Domain Names -- Chapter 5: Defect analysis of Faulty regions in Photovoltaic Panels using Deep Learning method -- Chapter 6: Leveraging a honeypot router for discovering and characterizing attacks on routers -- Chapter 7: Multimodal Biometric Authentication using Watermarking Technique. | |
| 520 | _aThis book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9158200 _aSeguridad informática _vCongresos y asambleas |
|
| 700 | 1 |
_aRao, Udai Pratap _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPatel, Sankita J. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aRaj, Pethuru _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aVisconti, Andrea _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789811690884 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811690907 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811690914 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9089-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b11/2022 _dz _eIG _zSI |
||