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 "adaptive honeypot engagement through reinforcement learning of semi markov decision processes"):
  Abstract: The honeynet is a promising active cyber defense mechanism. It reveals the fundamental Indicators of Compromise (IoC) by luring attackers to conduct adversarial behaviors in a controlled and monitored environment. The active interaction at the honeynet brings a high reward but also introduces high implementation costs and risks of adversarial honeynet exploitation. In this work, we apply the infinite-horizon Semi-Markov Decision Process (SMDP) to characterize the stochastic transition and sojourn time of attackers in the honeynet and quantify the reward-risk trade-off. In particular, we produce adaptive long-term engagement policies shown to be risk-averse, cost-effective, and time-efficient. Numerical results have demonstrated that our adaptive interaction policies can quickly attract attackers to the target honeypot and engage them for a sufficiently long period to obtain worthy threat information. Meanwhile, the penetration probability is kept at a low level. #R##N#The results show that the expected utility is robust against attackers of a large range of persistence and intelligence. Finally, we apply reinforcement learning to SMDP to solve the curse of modeling. Under a prudent choice of the learning rate and exploration policy, we achieve a quick and robust convergence of the optimal policy and value.

Includes members:
  Member "a dynamic games approach to proactive defense strategies against advanced persistent threats in cyber physical systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "strategic learning for active adaptive and autonomous cyber defense")
  Member "adaptive strategic cyber defense for advanced persistent threats in critical infrastructure networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "game theory for cyber deception a tutorial")
  Member "distributed and optimal resilient planning of large scale interdependent critical infrastructures":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal secure two layer iot network design")
  Member "a mean field stackelberg game approach for obfuscation adoption in empirical risk minimization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "prospect theoretic analysis of privacy preserving mechanism")
  Member "proactive defense against physical denial of service attacks using poisson signaling games":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "game theoretic analysis of cyber deception evidence based strategies and dynamic risk mitigation")
  Member "optimal timing in dynamic and robust attacker engagement during advanced persistent threats":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "strategic learning for active adaptive and autonomous cyber defense")
  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)