| LDR | | 01815nam u200529 4500 |
| 001 | | 000000482009 |
| 005 | | 20230213145457 |
| 008 | | 230117s2022 |||||||||||||||||c||eng d |
| 020 | |
▼a 9798819371640 |
| 035 | |
▼a (MiAaPQ)AAI29169931 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Han, Xueyuan.
▼0 (orcid)0000-0003-1374-153X. |
| 245 | 10 |
▼a Detecting System Anomalies Using Kernel-Level Data Provenance. |
| 260 | |
▼a [S.l.]:
▼b Harvard University.,
▼c 2022. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2022. |
| 300 | |
▼a 193 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-12, Section: B. |
| 500 | |
▼a Advisor: Mickens, James;Seltzer, Margo. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Harvard University, 2022. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0084. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Computer engineering. |
| 650 | 4 |
▼a Artificial intelligence. |
| 650 | 4 |
▼a Information technology. |
| 650 | 4 |
▼a Information science. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0489 |
| 690 | |
▼a 0464 |
| 690 | |
▼a 0800 |
| 690 | |
▼a 0723 |
| 710 | 20 |
▼a Harvard University.
▼b Engineering and Applied Sciences - Computer Science. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-12B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0084 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2022 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16616886
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202302
▼f 2023 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |