東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan./
作者:	Καλδερεμίδης, Ιωάννης.
其他作者:	Kalderemidis, Giannis,
面頁冊數:	1 online resource (62 pages)
附註:	Source: Masters Abstracts International, Volume: 84-03.
Contained By:	Masters Abstracts International84-03.
標題:	Language. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29294108click for full text (PQDT)
ISBN:	9798845716729

Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan.
Καλδερεμίδης, Ιωάννης.

Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan. - 1 online resource (62 pages)

Source: Masters Abstracts International, Volume: 84-03.

Thesis (M.Sc.)--University of Piraeus (Greece), 2020.

Includes bibliographical references

Modern information systems tend to encounter threats that evolve and become more sophisticated than someone can keep up to by just knowing their existing vulnerabilities. Attack graphs are the visual display of such potential courses of action an adversary may take in order to lead to a system compromise and this document presents how one may generate a graph, draw results from it, and create a defense based on these conclusions. Then, driven by international standards, we delve through the process of risk management and with the restriction of a network owner's budget, allocate the existing resources to the best of the business or organization by using various methods including knapsack problem and game theory.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845716729Subjects--Topical Terms:

643551
Language.
Index Terms--Genre/Form:

542853
Electronic books.

Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan.
LDR:04013nmm a2200409K 4500 001 2358909
005 20230830051516.5
006 m o d
007 cr mn ---uuuuu
008 241011s2020 xx obm 000 0 eng d
020 $a 9798845716729
035 $a (MiAaPQ)AAI29294108
035 $a (MiAaPQ)Piraeus13935
035 $a AAI29294108
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Καλδερεμίδης, Ιωάννης. $3 3699455
245 1 0 $a Use and Analysis of Attack Graphs for Decision Making in a Cybersecurity Defense Plan.
264 0 $c 2020
300 $a 1 online resource (62 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 84-03.
500 $a Advisor: Ξενάκης, Χρήστος; Xenakis, Christos.
502 $a Thesis (M.Sc.)--University of Piraeus (Greece), 2020.
504 $a Includes bibliographical references
520 $a Modern information systems tend to encounter threats that evolve and become more sophisticated than someone can keep up to by just knowing their existing vulnerabilities. Attack graphs are the visual display of such potential courses of action an adversary may take in order to lead to a system compromise and this document presents how one may generate a graph, draw results from it, and create a defense based on these conclusions. Then, driven by international standards, we delve through the process of risk management and with the restriction of a network owner's budget, allocate the existing resources to the best of the business or organization by using various methods including knapsack problem and game theory.
520 $a Τα σύγχρονα συστήματα πληροφοριών τείνουν να αντιμετωπίζουν απειλές που εξελίσσονται και γίνονται πιο περίπλοκες και εκλεπτυσμένες από ό, τι κάποιος μπορεί να ανταπεξέλθει γνωρίζοντας απλώς τις ευπάθειές τους. Οι γράφοι επιθέσεων είναι η οπτική απεικόνιση πιθανών πορειών δράσης που μπορεί να λάβει ένας επιτιθέμενος προκειμένου να οδηγηθεί σε έκθεση του συστήματος σε κίνδυνο, και αυτό το έγγραφο παρουσιάζει πώς μπορεί ένας διαχειριστής συστήματος να δημιουργήσει έναν γράφο, να αντλήσει αποτελέσματα από αυτόν, και να δημιουργήσει μια άμυνα βάσει των συμπερασμάτων που εξήχθησαν προς αποφυγή τέτοιων καταστάσεων. Στη συνέχεια, με γνώμονα διεθνή πρότυπα, εξετάζουμε τη διαδικασία διαχείρισης κινδύνων και με τον περιορισμό του προϋπολογισμού του κατόχου δικτύου, διαθέτουμε τους υπάρχοντες πόρους στο καλύτερο δυνατό τρόπο προς όφελος της επιχείρησης κάνοντας χρήση ποικίλων μεθόδων όπως το πρόβλημα του σακιδίου και τη θεωρία παιγνίων.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Language. $3 643551
650 4 $a Work stations. $3 3681929
650 4 $a Disadvantages. $3 3684692
650 4 $a Internet. $3 527226
650 4 $a Threats. $3 594889
650 4 $a Syntax. $3 897045
650 4 $a Network security. $3 3680530
650 4 $a Intrusion detection systems. $3 3694290
650 4 $a Exploitation. $3 562045
650 4 $a Buffalo. $3 3699457
650 4 $a Logic programming. $3 607023
650 4 $a Software upgrading. $3 3680542
650 4 $a Structured Query Language-SQL. $3 3696993
650 4 $a Servers. $3 3220915
650 4 $a Access control. $3 1458437
650 4 $a Linux. $3 738943
650 4 $a Operating systems. $3 3681934
650 4 $a Computer security. $3 540555
650 4 $a Data base management systems. $3 3684085
650 4 $a Data encryption. $3 3680528
650 4 $a Computer viruses. $3 686127
650 4 $a Algorithms. $3 536374
650 4 $a Animal sciences. $3 3174829
650 4 $a Computer science. $3 523869
650 4 $a Information science. $3 554358
650 4 $a Linguistics. $3 524476
650 4 $a Logic. $3 529544
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0679
690 $a 0475
690 $a 0984
690 $a 0723
690 $a 0290
690 $a 0395
690 $a 0454
700 1 $a Kalderemidis, Giannis, $e author. $3 3699456
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Piraeus (Greece). $3 3690333
773 0 $t Masters Abstracts International $g 84-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29294108 $z click for full text (PQDT)