Language:
English
繁體中文
Help
圖資館首頁
Login
Back
to Search results for
[ author_sort:"jajodia, sushil." ]
Switch To:
Labeled
|
MARC Mode
|
ISBD
Adversarial and uncertain reasoning ...
~
Jajodia, Sushil.
Adversarial and uncertain reasoning for adaptive cyber defensecontrol- and game-theoretic approaches to cyber security /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Adversarial and uncertain reasoning for adaptive cyber defenseedited by Sushil Jajodia ... [et al.].
Reminder of title:
control- and game-theoretic approaches to cyber security /
other author:
Jajodia, Sushil.
Published:
Cham :Springer International Publishing :2019.
Description:
vii, 263 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Cyber intelligence (Computer security)Congresses.
Online resource:
https://doi.org/10.1007/978-3-030-30719-6
ISBN:
9783030307196$q(electronic bk.)
Adversarial and uncertain reasoning for adaptive cyber defensecontrol- and game-theoretic approaches to cyber security /
Adversarial and uncertain reasoning for adaptive cyber defense
control- and game-theoretic approaches to cyber security /[electronic resource] :edited by Sushil Jajodia ... [et al.]. - Cham :Springer International Publishing :2019. - vii, 263 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118300302-9743 ;. - Lecture notes in computer science ;4891..
Overview of Control and Game Theory in Adaptive Cyber-Defenses -- Control Theoretic Approaches to Cyber-Security -- Game-Theoretic Approaches to Cyber-Security: Issues and Challenges and Results -- Reinforcement Learning for Adaptive Cyber Defense against Zero-day Attacks -- Moving Target Defense Quantification -- Empirical Game-Theoretic Methods for Adaptive Cyber-Defense -- MTD Techniques for Memory Protection against Zero-Day Attacks -- Adaptive Cyber Defenses for Botnet Detection and Mitigation -- Optimizing Alert Data Management Processes at a Cyber Security Operations Center -- Online and Scalable Adaptive Cyber Defense.
Today's cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR) AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.
ISBN: 9783030307196$q(electronic bk.)
Standard No.: 10.1007/978-3-030-30719-6doiSubjects--Topical Terms:
695345
Cyber intelligence (Computer security)
--Congresses.
LC Class. No.: QA76.9.A25 / A38 2019
Dewey Class. No.: 005.8
Adversarial and uncertain reasoning for adaptive cyber defensecontrol- and game-theoretic approaches to cyber security /
LDR
:02906nmm a2200349 a 4500
001
586772
003
DE-He213
005
20200701153657.0
006
m d
007
cr nn 008maaau
008
210326s2019 sz s 0 eng d
020
$a
9783030307196$q(electronic bk.)
020
$a
9783030307189$q(paper)
024
7
$a
10.1007/978-3-030-30719-6
$2
doi
035
$a
978-3-030-30719-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.A25
$b
A38 2019
072
7
$a
URH
$2
bicssc
072
7
$a
COM053000
$2
bisacsh
072
7
$a
URH
$2
thema
082
0 4
$a
005.8
$2
23
090
$a
QA76.9.A25
$b
A244 2019
245
0 0
$a
Adversarial and uncertain reasoning for adaptive cyber defense
$h
[electronic resource] :
$b
control- and game-theoretic approaches to cyber security /
$c
edited by Sushil Jajodia ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
vii, 263 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
11830
490
1
$a
Security and cryptology
505
0
$a
Overview of Control and Game Theory in Adaptive Cyber-Defenses -- Control Theoretic Approaches to Cyber-Security -- Game-Theoretic Approaches to Cyber-Security: Issues and Challenges and Results -- Reinforcement Learning for Adaptive Cyber Defense against Zero-day Attacks -- Moving Target Defense Quantification -- Empirical Game-Theoretic Methods for Adaptive Cyber-Defense -- MTD Techniques for Memory Protection against Zero-Day Attacks -- Adaptive Cyber Defenses for Botnet Detection and Mitigation -- Optimizing Alert Data Management Processes at a Cyber Security Operations Center -- Online and Scalable Adaptive Cyber Defense.
520
$a
Today's cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR) AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.
650
0
$a
Cyber intelligence (Computer security)
$v
Congresses.
$3
695345
650
0
$a
Machine learning.
$3
188639
650
0
$a
Control theory.
$3
182248
650
1 4
$a
Computer Crime.
$3
833604
650
2 4
$a
Computer Systems Organization and Communication Networks.
$3
273709
650
2 4
$a
Computing Milieux.
$3
275270
650
2 4
$a
Information Systems and Communication Service.
$3
274025
650
2 4
$a
Probability and Statistics in Computer Science.
$3
274053
700
1
$a
Jajodia, Sushil.
$3
208043
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
830
0
$a
Security and cryptology.
$3
822028
856
4 0
$u
https://doi.org/10.1007/978-3-030-30719-6
950
$a
Computer Science (SpringerNature-11645)
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
000000190557
電子館藏
1圖書
電子書
EB QA76.9.A25 A244 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-30719-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login