LEADER 04704nam 22006855 450 001 996466448203316 005 20200701153657.0 010 $a3-030-30719-0 024 7 $a10.1007/978-3-030-30719-6 035 $a(CKB)4100000009160265 035 $a(DE-He213)978-3-030-30719-6 035 $a(MiAaPQ)EBC5922892 035 $a(PPN)255586701 035 $a(EXLCZ)994100000009160265 100 $a20190830d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdversarial and Uncertain Reasoning for Adaptive Cyber Defense$b[electronic resource] $eControl- and Game-Theoretic Approaches to Cyber Security /$fedited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (VII, 263 p. 120 illus., 45 illus. in color.) 225 1 $aSecurity and Cryptology ;$v11830 311 $a3-030-30718-2 327 $aOverview 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. 330 $aToday?s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments. . 410 0$aSecurity and Cryptology ;$v11830 606 $aComputer crimes 606 $aComputer organization 606 $aComputers 606 $aMathematical statistics 606 $aComputer Crime$3https://scigraph.springernature.com/ontologies/product-market-codes/I28070 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aComputing Milieux$3https://scigraph.springernature.com/ontologies/product-market-codes/I24008 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aComputer crimes. 615 0$aComputer organization. 615 0$aComputers. 615 0$aMathematical statistics. 615 14$aComputer Crime. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aComputing Milieux. 615 24$aInformation Systems and Communication Service. 615 24$aProbability and Statistics in Computer Science. 676 $a005.8 702 $aJajodia$b Sushil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCybenko$b George$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Peng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Cliff$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWellman$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466448203316 996 $aAdversarial and Uncertain Reasoning for Adaptive Cyber Defense$92520060 997 $aUNISA LEADER 03495nam 22006855 450 001 9910483816303321 005 20251230064528.0 010 $a3-030-43036-7 024 7 $a10.1007/978-3-030-43036-8 035 $a(CKB)4100000011645331 035 $a(DE-He213)978-3-030-43036-8 035 $a(MiAaPQ)EBC6424319 035 $a(PPN)252515269 035 $a(MiAaPQ)EBC29092772 035 $a(EXLCZ)994100000011645331 100 $a20201210d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTopological Methods in Data Analysis and Visualization V $eTheory, Algorithms, and Applications /$fedited by Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 270 p. 132 illus., 109 illus. in color.) 225 1 $aMathematics and Visualization,$x2197-666X 300 $aIncludes index. 311 08$a3-030-43035-9 327 $aPersistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology. 330 $aThis collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms. In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world?s leading experts on topological techniques, the bookrepresents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine. 410 0$aMathematics and Visualization,$x2197-666X 606 $aInformation visualization 606 $aDynamical systems 606 $aComputer science$xMathematics 606 $aManifolds (Mathematics) 606 $aGeometry 606 $aData and Information Visualization 606 $aDynamical Systems 606 $aMathematical Applications in Computer Science 606 $aManifolds and Cell Complexes 606 $aGeometry 615 0$aInformation visualization. 615 0$aDynamical systems. 615 0$aComputer science$xMathematics. 615 0$aManifolds (Mathematics). 615 0$aGeometry. 615 14$aData and Information Visualization. 615 24$aDynamical Systems. 615 24$aMathematical Applications in Computer Science. 615 24$aManifolds and Cell Complexes. 615 24$aGeometry. 676 $a515.13 702 $aCarr$b Hamish 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483816303321 996 $aTopological methods in data analysis and visualization v$91982542 997 $aUNINA