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: "generalizing multiple access wiretap and wiretap ii channel models achievable rates and cost of strong secrecy"
  Abstract: In this paper, new two-user multiple access wiretap channel models are studied. First, the multiple access wiretap channel II with a discrete memoryless main channel, under three different wiretapping scenarios, is introduced. The wiretapper, as in the classical wiretap channel II model, chooses a fixed-length subset of the channel uses on which she obtains noise-free observations of one of the codewords, a superposition of the two codewords, or each of the two codewords. These thus extend the recently examined wiretap channel II with a noisy main channel to a multiple access setting with a variety of attack models for the wiretapper. Next, a new multiple access wiretap channel model, which further generalizes the multiple access wiretap channel II under the third wiretapping scenario, i.e., that which features the strongest adversarial model, is proposed. In this model, the wiretapper, besides choosing a subset of the channel uses to noiselessly observe the transmitted codeword symbols of both users, observes the remainder of the two codewords through a discrete memoryless multiple access channel. Achievable strong secrecy rate regions for all the proposed models are derived. Achievability is established by solving dual multi-terminal secret key agreement problems in the source model, and converting the solution to the original channel models using probability distribution approximation arguments. The derived achievable rate regions quantify the secrecy cost due to the additional capabilities of the wiretapper with respect to the previous multiple access wiretap models.

Connected through hyperedge HE-1 (induced by source paper "an achievable region for the multiple access wiretap channels with confidential and open messages"):
  with members:
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-2 (induced by source paper "the caching broadcast channel with a wire and cache tapping adversary of type ii"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "secrecy capacity memory tradeoff of erasure broadcast channels"
    - "a new wiretap channel model and its strong secrecy capacity"
    - "benefits of cache assignment on degraded broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "combination networks with or without secrecy constraints the impact of caching relays"
    - "information theoretic caching the multi user case"

Connected through hyperedge HE-3 (induced by source paper "learning an adversary s actions for secret communication"):
  with members:
    - "first and second order asymptotics in covert communication"
    - "a new wiretap channel model and its strong secrecy capacity"
    - "arbitrarily varying wiretap channels with type constrained states"
    - "semantic security capacity for wiretap channels of type ii"
    - "list decoding random coding exponents and expurgated exponents"
    - "capacity results for arbitrarily varying wiretap channels"
    - "regret analysis of stochastic and nonstochastic multi armed bandit problems"
    - "universal communication over arbitrarily varying channels"

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.IT(Information Theory)