human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "strategic learning for active adaptive and autonomous cyber defense"):
  Abstract: The increasing instances of advanced attacks call for a new defense paradigm that is active, autonomous, and adaptive, named as the \texttt{`3A'} defense paradigm. This chapter introduces three defense schemes that actively interact with attackers to increase the attack cost and gather threat information, i.e., defensive deception for detection and counter-deception, feedback-driven Moving Target Defense (MTD), and adaptive honeypot engagement. Due to the cyber deception, external noise, and the absent knowledge of the other players' behaviors and goals, these schemes possess three progressive levels of information restrictions, i.e., from the parameter uncertainty, the payoff uncertainty, to the environmental uncertainty. To estimate the unknown and reduce uncertainty, we adopt three different strategic learning schemes that fit the associated information restrictions. All three learning schemes share the same feedback structure of sensation, estimation, and actions so that the most rewarding policies get reinforced and converge to the optimal ones in autonomous and adaptive fashions. This work aims to shed lights on proactive defense strategies, lay a solid foundation for strategic learning under incomplete information, and quantify the tradeoff between the security and costs.

Includes members:
  Member "modeling analysis and mitigation of dynamic botnet formation in wireless iot networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "game theory for cyber deception a tutorial")
  Member "adaptive honeypot engagement through reinforcement learning of semi markov decision processes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "manipulating reinforcement learning poisoning attacks on cost signals")
  Member "a dynamic games approach to proactive defense strategies against advanced persistent threats in cyber physical systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "adaptive honeypot engagement through reinforcement learning of semi markov decision processes")
  Member "adaptive strategic cyber defense for advanced persistent threats in critical infrastructure networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "game theory for cyber deception a tutorial")
  Member "modeling and analysis of leaky deception using signaling games with evidence":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "game theory for cyber deception a tutorial")
  Member "optimal timing in dynamic and robust attacker engagement during advanced persistent threats":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "adaptive honeypot engagement through reinforcement learning of semi markov decision processes")
  Member "a dynamic game analysis and design of infrastructure network protection and recovery 125":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal secure two layer iot network design")
  Member "a game theoretic taxonomy and survey of defensive deception for cybersecurity and privacy":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "game theory for cyber deception a tutorial")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CR(Cryptography and Security)