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 "preventive and reactive cyber defense dynamics is globally stable"):
  Abstract: The recently proposed {\em cybersecurity dynamics} approach aims to understand cybersecurity from a holistic perspective by modeling the evolution of the global cybersecurity state. These models describe the interactions between the various kinds of cyber defenses and the various kinds of cyber attacks. We study a particular kind of cybersecurity dynamics caused by the interactions between preventive and reactive defenses (e.g., filtering and malware detection) against push- and pull-based cyber attacks (e.g., malware spreading and "drive-by download" attacks). The dynamics was previously shown to be globally stable in a {\em special} regime of the parameter universe, but little is known beyond this special regime. In this paper, we resolve an open problem in this domain by proving that the dynamics is globally stable in the {\em entire} parameter universe (i.e., the dynamics always converges to a unique equilibrium). We discuss the cybersecurity meanings and implications of this theoretic result. We also prove that the dynamics converges {\em exponentially} to the equilibrium except for a special parameter regime, in which case the dynamics converges {\em polynomially}. Since it is often difficult to compute the equilibrium, we propose new bounds of the equilibrium and numerically show that these bounds are tighter than those proposed in the literature.

Includes members:
  Member "a stochastic model of active cyber defense dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive")
  Member "a stochastic model for quantitative security analyses of networked systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive")
  Member "an extended stochastic model for quantitative security analysis of networked systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "metrics towards measuring cyber agility")
  Member "cyber epidemic models with dependences":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on ethereum systems security vulnerabilities attacks and defenses")
  Member "a new approach to modeling and analyzing security of networked systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive")
  Member "active cyber defense dynamics exhibiting rich phenomena":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive")
  Member "characterizing the power of moving target defense via cyber epidemic dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive")

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)