Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
PageMenu
-
Hauptmenü
-
Suchmenü
Einfache Suche
.
Erweiterte Suche
.
Zeitschriften-Suche
.
Suchergebnisse verfeinern
.
Neuerwerbungsliste nach Gruppen
.
Sortierreihenfolge
.
Benutzerdienste
Nutzeranmeldung
.
Mein Konto
.
Erwerbungsvorschlag
.
Fernleihe
.
Vormerkung
.
Verlängerung
.
Weitere Recherchemöglichkeiten
Datenbankinfosystem (DBIS)
.
Karlsruher virtueller Katalog (KVK)
.
Regensburger Systematik (RVK)
.
Elektronische Zeitschriften (EZB)
.
Zeitschriftendatenbank (ZDB)
.
Sitzung beenden
Katalog verlassen
.
Homepage WHZ
.
Hochschulbibliothek
.
© LIBERO v6.4.1sp240211
Page content
Sie befinden sich hier
:
>
Benutzungsbedingungen akzeptieren
>
Details Neuerwerbungsliste nach Gruppen
Kategorienanzeige
Kategorienanzeige
MAB
Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems
Kategorie
Beschreibung
036a
XA-DE
037b
eng
087q
978-3-319-08280-6
100
Abbass, Hussein A.
331
Computational Red Teaming
335
Risk Analytics of Big-Data-to-Decisions Intelligent Systems
410
Cham
412
Springer
425
2015
425a
2015
433
Online-Ressource (XXIII, 218 p. 61 illus., 15 illus. in color, online resource)
451b
SpringerLink. Bücher
527
Druckausg.ISBN: 978-331-90828-0-6
540a
ISBN 978-3-319-08281-3
700
|COM004000
700
|UYQ
700
|TEC009000
700b
|006.3
700c
|Q342
750
Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert’s principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment. • Presents first comprehensive treatment of Computational Red Teaming; • Provides balanced coverage of the topic from the perspectives of risk thinking and computational modeling; • Includes thorough coverage of the computational approach to the problem; • Links risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, “big-data” situations
902s
209676493 Ingenieurwissenschaften
902s
209130482 Telekommunikation
902s
216543657 Big Data
012
417084129
081
Abbass, Hussein A.: Computational Red Teaming
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-3-319-08281-3
Schnellsuche
Suche nach