LDR | | 00000nmm u2200205 4500 |
001 | | 000000331616 |
005 | | 20241119163027 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438340336 |
035 | |
▼a (MiAaPQ)AAI10931480 |
035 | |
▼a (MiAaPQ)cmu:10288 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Bao, Tiffany. |
245 | 10 |
▼a Autonomous Computer Security Game: Techniques, Strategy and Investigation. |
260 | |
▼a [S.l.] :
▼b Carnegie Mellon University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 189 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
500 | |
▼a Adviser: David Brumley. |
502 | 1 |
▼a Thesis (Ph.D.)--Carnegie Mellon University, 2018. |
520 | |
▼a Computer security in deployed systems is a dynamic interaction between attackers and defenders. These interactions can be formalized as computer security games between multiple parties, each of which interacts through actions such as finding a z |
520 | |
▼a This dissertation investigates autonomous computer security games from both a game-theoretical and a system perspective. In particular, we study concrete system instances of players as represented by Cyber Reasoning Systems (CRS) found in the DA |
520 | |
▼a This dissertation is composed of two main lines of research. First, we research players' strategy based on game-theoretical models. We consider the interaction between multiple players, seek for the optimal strategy corresponding to an equilibri |
590 | |
▼a School code: 0041. |
650 | 4 |
▼a Computer science. |
690 | |
▼a 0984 |
710 | 20 |
▼a Carnegie Mellon University.
▼b Electrical and Computer Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0041 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001038
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |