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 |