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 scalable byzantine grid"
  Abstract: Modern networks assemble an ever growing number of nodes. However, it remains difficult to increase the number of channels per node, thus the maximal degree of the network may be bounded. This is typically the case in grid topology networks, where each node has at most four neighbors. In this paper, we address the following issue: if each node is likely to fail in an unpredictable manner, how can we preserve some global reliability guarantees when the number of nodes keeps increasing unboundedly ? To be more specific, we consider the problem or reliably broadcasting information on an asynchronous grid in the presence of Byzantine failures -- that is, some nodes may have an arbitrary and potentially malicious behavior. Our requirement is that a constant fraction of correct nodes remain able to achieve reliable communication. Existing solutions can only tolerate a fixed number of Byzantine failures if they adopt a worst-case placement scheme. Besides, if we assume a constant Byzantine ratio (each node has the same probability to be Byzantine), the probability to have a fatal placement approaches 1 when the number of nodes increases, and reliability guarantees collapse. In this paper, we propose the first broadcast protocol that overcomes these difficulties. First, the number of Byzantine failures that can be tolerated (if they adopt the worst-case placement) now increases with the number of nodes. Second, we are able to tolerate a constant Byzantine ratio, however large the grid may be. In other words, the grid becomes scalable. This result has important security applications in ultra-large networks, where each node has a given probability to misbehave.

Connected through hyperedge HE-1 (induced by source paper "reliable communication in a dynamic network in the presence of byzantine faults"):
  with members:
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "on byzantine broadcast in loosely connected networks"
    - "maximum metric spanning tree made byzantine tolerant"
    - "time varying graphs and dynamic networks"
    - "bounding the impact of unbounded attacks in stabilization"
    - "on byzantine containment properties of the min 1 protocol"
    - "the impact of topology on byzantine containment in stabilization"

Connected through hyperedge HE-2 (induced by source paper "on byzantine broadcast in planar graphs"):
  with members:
    - "on byzantine broadcast in loosely connected networks"
    - "maximum metric spanning tree made byzantine tolerant"
    - "bounding the impact of unbounded attacks in stabilization"
    - "on byzantine containment properties of the min 1 protocol"
    - "the impact of topology on byzantine containment in stabilization"
    - "discovering network topology in the presence of byzantine faults"

Connected through hyperedge HE-3 (induced by source paper "parameterizable byzantine broadcast in loosely connected networks"):
  with members:
    - "on byzantine broadcast in loosely connected networks"
    - "maximum metric spanning tree made byzantine tolerant"
    - "bounding the impact of unbounded attacks in stabilization"
    - "on byzantine containment properties of the min 1 protocol"
    - "the impact of topology on byzantine containment in stabilization"
    - "discovering network topology in the presence of byzantine faults"

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.DC(Distributed, Parallel, and Cluster Computing)