000 | 04436nam a22006615i 4500 | ||
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001 | 978-3-030-30719-6 | ||
003 | DE-He213 | ||
005 | 20240730165926.0 | ||
007 | cr nn 008mamaa | ||
008 | 190830s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030307196 _9978-3-030-30719-6 |
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024 | 7 |
_a10.1007/978-3-030-30719-6 _2doi |
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072 | 7 |
_aURH _2bicssc |
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_a005.8 _223 |
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245 | 1 | 0 |
_aAdversarial and Uncertain Reasoning for Adaptive Cyber Defense _h[electronic resource] : _bControl- and Game-Theoretic Approaches to Cyber Security / _cedited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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300 |
_aVII, 263 p. 120 illus., 45 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSecurity and Cryptology, _x2946-1863 ; _v11830 |
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505 | 0 | _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. | |
520 | _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. . | ||
650 | 0 |
_aComputer crimes. _910774 |
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650 | 0 |
_aComputer engineering. _910164 |
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650 | 0 |
_aComputer networks . _931572 |
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650 | 0 |
_aComputers. _98172 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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650 | 0 |
_aMathematical statistics. _99597 |
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650 | 1 | 4 |
_aComputer Crime. _986411 |
650 | 2 | 4 |
_aComputer Engineering and Networks. _991223 |
650 | 2 | 4 |
_aComputing Milieux. _955441 |
650 | 2 | 4 |
_aComputer Communication Networks. _991224 |
650 | 2 | 4 |
_aProbability and Statistics in Computer Science. _931857 |
700 | 1 |
_aJajodia, Sushil. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _991225 |
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700 | 1 |
_aCybenko, George. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _991226 |
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700 | 1 |
_aLiu, Peng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _991227 |
|
700 | 1 |
_aWang, Cliff. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _991228 |
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700 | 1 |
_aWellman, Michael. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _991229 |
|
710 | 2 |
_aSpringerLink (Online service) _991230 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030307189 |
776 | 0 | 8 |
_iPrinted edition: _z9783030307202 |
830 | 0 |
_aSecurity and Cryptology, _x2946-1863 ; _v11830 _991231 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-30719-6 |
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