000 | 01412nam a2200229Ia 4500 | ||
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008 | 240830s9999||||xx |||||||||||||| ||und|| | ||
040 |
_aJZL-CUI _cCOMSATS University Islamabad |
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041 | _aeng | ||
082 |
_a004 _bSHA-P |
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084 | _a004 SHA-P | ||
100 |
_aShahid, Maryam. _eSP19-RIS-012/ISB _uCOMSATS University Islamabad. |
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245 | 0 |
_aPrivacy preserving integrated anonymized data generator by federated learning and blockchain / _cMaryam Shahid. _h[Thesis or Dissertation] |
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260 |
_aIslamabad : _bCOMSATS University Islamabad, _c2021. |
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300 |
_axv, 118 pages : _bcolor illustrations ; _c30 cm + _e1 DVD-ROM (4 3/4 in.) |
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502 |
_aThesis _bA Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Information Security. External Examiner: Muhammad Almas Anjum, Dr. Prof, Computer Science, University of Wah, Wah Cantt. _cCOMSATS University Islamabad |
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526 | _aMS in Information Security. | ||
600 |
_aAdeel Anjum, Dr. _gSupervisor, AP, Computer Science. |
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600 |
_aMuhammad Almas Anjum, Dr. _gExternal Examiner: Prof, Computer Science, University of Wah, Wah Cantt. |
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650 | _aAnonymized data--Federated learning--Blockchain. | ||
650 | _aElectronic Health Record--Collaboration methodology--Machine learning technique--Data utility altogether. | ||
655 |
_aComputer Science _bInformation Security |
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999 |
_c489575 _d489575 |