國立虎尾科技大學 |

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense = Control- and Game-Theoretic Approaches to Cyber Security /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Adversarial and Uncertain Reasoning for Adaptive Cyber Defense/ edited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman.
Reminder of title:	Control- and Game-Theoretic Approaches to Cyber Security /
other author:	Jajodia, Sushil.
Description:	VII, 263 p. 120 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer crimes. -
Online resource:	https://doi.org/10.1007/978-3-030-30719-6
ISBN:	9783030307196

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense = Control- and Game-Theoretic Approaches to Cyber Security /
Adversarial and Uncertain Reasoning for Adaptive Cyber DefenseControl- and Game-Theoretic Approaches to Cyber Security /[electronic resource] :edited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman. - 1st ed. 2019. - VII, 263 p. 120 illus., 45 illus. in color.online resource. - Security and Cryptology ;11830. - Security and Cryptology ;9241.

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

Standard No.: 10.1007/978-3-030-30719-6doiSubjects--Topical Terms:

564161
Computer crimes.

LC Class. No.: HV6772-6773.3

Dewey Class. No.: 005.8

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense = Control- and Game-Theoretic Approaches to Cyber Security /
LDR:03256nam a22004215i 4500 001 1007643
003 DE-He213
005 20200701153657.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030307196 $9 978-3-030-30719-6
024 7 $a 10.1007/978-3-030-30719-6 $2 doi
035 $a 978-3-030-30719-6
050 4 $a HV6772-6773.3
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
082 0 4 $a 364.168 $2 23
245 1 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, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a VII, 263 p. 120 illus., 45 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Security and Cryptology ; $v 11830
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 Computer crimes. $3 564161
650 0 $a Computer organization. $3 596298
650 0 $a Computers. $3 565115
650 0 $a Mathematical statistics. $3 527941
650 1 4 $a Computer Crime. $3 1226852
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Computing Milieux. $3 669921
650 2 4 $a Information Systems and Communication Service. $3 669203
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
700 1 $a Jajodia, Sushil. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675403
700 1 $a Cybenko, George. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301446
700 1 $a Liu, Peng. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 897904
700 1 $a Wang, Cliff. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 677065
700 1 $a Wellman, Michael. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301447
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030307189
776 0 8 $i Printed edition: $z 9783030307202
830 0 $a Security and Cryptology ; $v 9241 $3 1254069
856 4 0 $u https://doi.org/10.1007/978-3-030-30719-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)