human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a stochastic model for quantitative security analyses of networked systems"
  Abstract: Traditional security analyses are often geared towards cryptographic primitives or protocols. Although such analyses are necessary, they cannot address a defender's need for insight into {\em which aspects of a networked system having a significant impact on its security, and how to tune its configurations or parameters so as to improve security}. This question is known to be notoriously difficult to answer, and the state-of-the-art is that we know little about it. Towards ultimately addressing this question, this paper presents a stochastic model for quantifying security of networked systems. The resulting model captures two aspects of a networked system: (1) the strength of deployed security mechanisms such as intrusion detection systems, and (2) the underlying {\em vulnerability graph}, which reflects how attacks may proceed. The resulting model brings the following insights: (1) How should a defender "tune" system configurations (e.g., network topology) so as to improve security? (2) How should a defender "tune" system parameters (e.g., by upgrading which security mechanisms) so as to improve security? (3) Under what conditions is the steady-state number of compromised entities of interest below a given threshold with a high probability? Simulation studies are conducted to confirm the analytic results, and to show the tightness of the bounds of certain important metric that cannot be resolved analytically.

Connected through hyperedge HE-1 (induced by source paper "preventive and reactive cyber defense dynamics with ergodic time dependent parameters is globally attractive"):
  with members:
    - "a stochastic model of active cyber defense dynamics"
    - "a new approach to modeling and analyzing security of networked systems"
    - "active cyber defense dynamics exhibiting rich phenomena"
    - "preventive and reactive cyber defense dynamics is globally stable"
    - "epidemic threshold of an sis model in dynamic switching networks"
    - "disease spread over randomly switched large scale networks"
    - "characterizing the power of moving target defense via cyber epidemic dynamics"

Connected through hyperedge HE-2 (induced by source paper "preventive and reactive cyber defense dynamics is globally stable"):
  with members:
    - "a stochastic model of active cyber defense dynamics"
    - "an extended stochastic model for quantitative security analysis of networked systems"
    - "cyber epidemic models with dependences"
    - "a new approach to modeling and analyzing security of networked systems"
    - "active cyber defense dynamics exhibiting rich phenomena"
    - "characterizing the power of moving target defense via cyber epidemic dynamics"

Connected through hyperedge HE-3 (induced by source paper "a new approach to modeling and analyzing security of networked systems"):
  with members:
    - "a stochastic model of active cyber defense dynamics"
    - "push and pull based epidemic spreading in networks thresholds and deeper insights"
    - "an extended stochastic model for quantitative security analysis of networked systems"
    - "cyber epidemic models with dependences"

Connected through hyperedge HE-4 (induced by source paper "cyber epidemic models with dependences"):
  with members:
    - "push and pull based epidemic spreading in networks thresholds and deeper insights"
    - "an extended stochastic model for quantitative security analysis of networked systems"
    - "a new approach to modeling and analyzing security of networked systems"

Connected through hyperedge HE-5 (induced by source paper "an extended stochastic model for quantitative security analysis of networked systems"):
  with members:
    - "push and pull based epidemic spreading in networks thresholds and deeper insights"

Question: Please tell me which class the center node 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)