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: "k connectivity of inhomogeneous random key graphs with unreliable links"
  Abstract: We consider secure and reliable connectivity in wireless sensor networks that utilize a heterogeneous random key predistribution scheme. We model the unreliability of wireless links by an on-off channel model that induces an Erd\H{o}s-R\'enyi graph, while the heterogeneous scheme induces an inhomogeneous random key graph. The overall network can thus be modeled by the intersection of both graphs. We present conditions (in the form of zero-one laws) on how to scale the parameters of the intersection model so that with high probability i) all of its nodes are connected to at least $k$ other nodes; i.e., the minimum node degree of the graph is no less than $k$ and ii) the graph is $k$-connected, i.e., the graph remains connected even if any $k-1$ nodes leave the network. We also present numerical results to support these conditions in the finite-node regime. Our results are shown to complement and generalize several previous work in the literature.

Connected through hyperedge HE-1 (induced by source paper "on the strength of connectivity of inhomogeneous random k out graphs"):
  with members:
    - "privacy utility tradeoffs in routing cryptocurrency over payment channel networks"
    - "k connectivity in random key graphs with unreliable links"
    - "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"
    - "topological analysis of bitcoin s lightning network"
    - "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"
    - "modeling the pairwise key predistribution scheme in the presence of unreliable links"

Connected through hyperedge HE-2 (induced by source paper "the strength of connectivity of random graphs induced by pairwise key predistribution schemes implications on security and reliability of heterogeneous sensor networks"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"
    - "high throughput cryptocurrency routing in payment channel networks"
    - "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"
    - "robustness of complex networks with implications for consensus and contagion"

Connected through hyperedge HE-3 (induced by source paper "towards k connectivity in heterogeneous sensor networks under pairwise key predistribution"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"
    - "toward k connectivity of the random graph induced by a pairwise key predistribution scheme with unreliable links"

Connected through hyperedge HE-4 (induced by source paper "analyzing connectivity of heterogeneous secure sensor networks"):
  with members:
    - "k connectivity in random key graphs with unreliable links"
    - "on connectivity and robustness in random intersection graphs"
    - "connectivity in secure wireless sensor networks under transmission constraints"
    - "on the strengths of connectivity and robustness in general random intersection graphs"

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)