Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computational red teamingrisk analyt...
~
Abbass, Hussein A.
Computational red teamingrisk analytics of big-data-to-decisions intelligent systems /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational red teamingby Hussein A. Abbass.
Reminder of title:
risk analytics of big-data-to-decisions intelligent systems /
Author:
Abbass, Hussein A.
Published:
Cham :Springer International Publishing :2015.
Description:
xxiii, 218 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computational intelligence.
Online resource:
http://dx.doi.org/10.1007/978-3-319-08281-3
ISBN:
9783319082813 (electronic bk.)
Computational red teamingrisk analytics of big-data-to-decisions intelligent systems /
Abbass, Hussein A.
Computational red teaming
risk analytics of big-data-to-decisions intelligent systems /[electronic resource] :by Hussein A. Abbass. - Cham :Springer International Publishing :2015. - xxiii, 218 p. :ill. (some col.), digital ;24 cm.
The Art of Red Teaming -- Analytics of Risk and Challenge -- Big-Data-to-Decisions Red Teaming Systems -- Case Studies on Computational Red Teaming -- The Way Forward.
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.
ISBN: 9783319082813 (electronic bk.)
Standard No.: 10.1007/978-3-319-08281-3doiSubjects--Topical Terms:
210824
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational red teamingrisk analytics of big-data-to-decisions intelligent systems /
LDR
:02965nmm a2200313 a 4500
001
460072
003
DE-He213
005
20150617101816.0
006
m d
007
cr nn 008maaau
008
151110s2015 gw s 0 eng d
020
$a
9783319082813 (electronic bk.)
020
$a
9783319082806 (paper)
024
7
$a
10.1007/978-3-319-08281-3
$2
doi
035
$a
978-3-319-08281-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
006.3
$2
23
090
$a
Q342
$b
.A122 2015
100
1
$a
Abbass, Hussein A.
$3
238815
245
1 0
$a
Computational red teaming
$h
[electronic resource] :
$b
risk analytics of big-data-to-decisions intelligent systems /
$c
by Hussein A. Abbass.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xxiii, 218 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
The Art of Red Teaming -- Analytics of Risk and Challenge -- Big-Data-to-Decisions Red Teaming Systems -- Case Studies on Computational Red Teaming -- The Way Forward.
520
$a
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.
650
0
$a
Computational intelligence.
$3
210824
650
0
$a
Big data
$v
Congresses.
$3
592065
650
0
$a
Decision making
$x
Data processing
$v
Congresses.
$3
384567
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Communications Engineering, Networks.
$3
273745
650
2 4
$a
Data Storage Representation.
$3
277024
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-08281-3
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000109579
電子館藏
1圖書
電子書
EB Q342 A122 2015
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-08281-3
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login