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 "a games in games approach to mosaic command and control design of dynamic network of networks for secure and resilient multi domain operations"):
  Abstract: This paper presents a games-in-games approach to provide design guidelines for mosaic command and control that enables the secure and resilient multi-domain operations. Under the mosaic design, pieces or agents in the network are equipped with flexible interoperability and the capability of self-adaptability, self-healing, and resiliency so that they can reconfigure their responses to achieve the global mission in spite of failures of nodes and links in the adversarial environment. The proposed games-in-games approach provides a system-of-systems science for mosaic distributed design of large-scale systems. Specifically, the framework integrates three layers of design for each agent including strategic layer, tactical layer, and mission layer. Each layer in the established model corresponds to a game of a different scale that enables the integration of threat models and achieve self-mitigation and resilience capabilities. The solution concept of the developed multi-layer multi-scale mosaic design is characterized by Gestalt Nash equilibrium (GNE) which considers the interactions between agents across different layers. The developed approach is applicable to modern battlefield networks which are composed of heterogeneous assets that access highly diverse and dynamic information sources over multiple domains. By leveraging mosaic design principles, we can achieve the desired operational goals of deployed networks in a case study and ensure connectivity among entities for the exchange of information to accomplish the mission.

Includes members:
  Member "optimal secure two layer iot network design":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "security of distributed machine learning a game theoretic approach to design secure dsvm")
  Member "interdependent strategic security risk management with bounded rationality in the internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fog computing systems state of the art research issues and future trends")
  Member "dynamic bayesian games for adversarial and defensive cyber deception":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "game theory for cyber deception a tutorial")
  Member "a multi layer feedback system approach to resilient connectivity of remotely deployed mobile internet of things":
    also connected through other hyperedges:
      (none)
  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 "istrict an interdependent strategic trust mechanism for the cloud enabled internet of controlled things":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimal secure two layer iot network design")
  Member "distributed and optimal resilient planning of large scale interdependent critical infrastructures":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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.SY(Systems and Control)