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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Jajodia, Sushil (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cybenko, George (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Peng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Cliff (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wellman, Michael (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Security and Cryptology ; 11830
• Θέματα: Computer crimes.; Computer organization.; Computers.; Mathematical statistics.; Computer Crime.; Computer Systems Organization and Communication Networks.; Computing Milieux.; Information Systems and Communication Service.; Probability and Statistics in Computer Science.
• Φυσική περιγραφή: VII, 263 p. 120 illus., 45 illus. in color. online resource.
• ISBN: 9783030307196
• DOI: 10.1007/978-3-030-30719-6

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. .