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 "game theory for cyber deception a tutorial"):
  Abstract: Deceptive and anti-deceptive technologies have been developed for various specific applications. But there is a significant need for a general, holistic, and quantitative framework of deception. Game theory provides an ideal set of tools to develop such a framework of deception. In particular, game theory captures the strategic and self-interested nature of attackers and defenders in cybersecurity. Additionally, control theory can be used to quantify the physical impact of attack and defense strategies. In this tutorial, we present an overview of game-theoretic models and design mechanisms for deception and counter-deception. The tutorial aims to provide a taxonomy of deception and counter-deception and understand how they can be conceptualized, quantified, and designed or mitigated. This tutorial gives an overview of diverse methodologies from game theory that includes games of incomplete information, dynamic games, mechanism design theory to offer a modern theoretic underpinning of cyberdeception. The tutorial will also discuss open problems and research challenges that the HoTSoS community can address and contribute with an objective to build a multidisciplinary bridge between cybersecurity, economics, game and decision theory.

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 "strategic learning for active adaptive and autonomous cyber defense")
  Member "game theoretic analysis of cyber deception evidence based strategies and dynamic risk mitigation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deceptive reinforcement learning under adversarial manipulations on cost signals")
  Member "dynamic bayesian games for adversarial and defensive cyber deception":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a games in games approach to mosaic command and control design of dynamic network of networks for secure and resilient multi domain operations")
  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 "a games in games approach to mosaic command and control design of dynamic network of networks for secure and resilient multi domain operations")
  Member "game theory meets network security a tutorial":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep reinforcement learning for cyber security")
  Member "modeling and analysis of leaky deception using signaling games with evidence":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a games in games approach to mosaic command and control design of dynamic network of networks for secure and resilient multi domain operations")
  Member "istrict an interdependent strategic trust mechanism for the cloud enabled internet of controlled things":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal secure two layer iot network design")
  Member "a dynamic game analysis and design of infrastructure network protection and recovery 125":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "optimal secure two layer iot network design")

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.GT(Computer Science and Game Theory)