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: "towards provably invisible network flow fingerprints"
  Abstract: Network traffic analysis reveals important information even when messages are encrypted. We consider active traffic analysis via flow fingerprinting by invisibly embedding information into packet timings of flows. In particular, assume Alice wishes to embed fingerprints into flows of a set of network input links, whose packet timings are modeled by Poisson processes, without being detected by a watchful adversary Willie. Bob, who receives the set of fingerprinted flows after they pass through the network modeled as a collection of independent and parallel M/M/1 queues, wishes to extract Alice's embedded fingerprints to infer the connection between input and output links of the network. We consider two scenarios: 1) Alice embeds fingerprints in all of the flows; 2) Alice embeds fingerprints in each flow independently with probability p. Assuming that the flow rates are equal, we calculate the maximum number of flows in which Alice can invisibly embed fingerprints while having those fingerprints successfully decoded by Bob. Then, we extend the construction and analysis to the case where flow rates are distinct, and discuss the extension of the network model.

Connected through hyperedge HE-1 (induced by source paper "fundamental limits of covert packet insertion"):
  with members:
    - "covert communication over a k user multiple access channel"
    - "fundamental limits of invisible flow fingerprinting"
    - "fundamental limits of covert bit insertion in packets"
    - "privacy preserving mhealth data release with pattern consistency"
    - "covert capacity of non coherent rayleigh fading channels"
    - "covert wireless communication with artificial noise generation"
    - "covert communication over noisy channels a resolvability perspective"
    - "covert communications on renewal packet channels"

Connected through hyperedge HE-2 (induced by source paper "asymptotic limits of privacy in bayesian time series matching"):
  with members:
    - "asymptotic loss in privacy due to dependency in gaussian traces"
    - "privacy of dependent users against statistical matching"
    - "fundamental limits of invisible flow fingerprinting"
    - "privacy against statistical matching inter user correlation"
    - "matching anonymized and obfuscated time series to users profiles"
    - "where you are is who you are user identification by matching statistics"
    - "achieving perfect location privacy in wireless devices using anonymization"
    - "asymptotically optimal matching of multiple sequences to source distributions and training sequences"

Connected through hyperedge HE-3 (induced by source paper "privacy of dependent users against statistical matching"):
  with members:
    - "asymptotic limits of privacy in bayesian time series matching"
    - "a concentration of measure approach to database de anonymization"
    - "single server single message online private information retrieval with side information"
    - "asymptotic loss in privacy due to dependency in gaussian traces"
    - "fundamental limits of database alignment"
    - "community detection with side information exact recovery under the stochastic block model"
    - "matching graphs with community structure a concentration of measure approach"
    - "on the performance of a canonical labeling for matching correlated erdős renyi graphs"

Connected through hyperedge HE-4 (induced by source paper "fundamental limits of covert bit insertion in packets"):
  with members:
    - "first and second order asymptotics in covert communication"
    - "asymptotic loss in privacy due to dependency in gaussian traces"
    - "embedding covert information in broadcast communications"
    - "fundamental limits of invisible flow fingerprinting"
    - "privacy preserving mhealth data release with pattern consistency"
    - "privacy against statistical matching inter user correlation"
    - "matching anonymized and obfuscated time series to users profiles"
    - "covert wireless communication with artificial noise generation"

Connected through hyperedge HE-5 (induced by source paper "fundamental limits of invisible flow fingerprinting"):
  with members:
    - "asymptotic loss in privacy due to dependency in gaussian traces"
    - "fundamental limits of covert bit insertion in packets"
    - "privacy preserving mhealth data release with pattern consistency"
    - "privacy against statistical matching inter user correlation"
    - "matching anonymized and obfuscated time series to users profiles"
    - "covert wireless communication with artificial noise generation"
    - "covert communications on renewal packet channels"
    - "covert communications on poisson packet channels"

Connected through hyperedge HE-6 (induced by source paper "asymptotic loss in privacy due to dependency in gaussian traces"):
  with members:
    - "privacy of dependent users against statistical matching"
    - "privacy against statistical matching inter user correlation"
    - "matching anonymized and obfuscated time series to users profiles"

Connected through hyperedge HE-7 (induced by source paper "covert wireless communication with artificial noise generation"):
  with members:
    - "privacy preserving mhealth data release with pattern consistency"
    - "covert communication in the presence of an uninformed jammer"
    - "covert communication over noisy channels a resolvability perspective"
    - "covert communications on renewal packet channels"
    - "covert communications on poisson packet channels"
    - "covert single hop communication in a wireless network with distributed artificial noise generation"
    - "reliable deniable and hidable communication over multipath networks"
    - "lpd communication when the warden does not know when"

Connected through hyperedge HE-8 (induced by source paper "matching anonymized and obfuscated time series to users profiles"):
  with members:
    - "robust privacy utility tradeoffs under differential privacy and hamming distortion"
    - "a smart home is no castle privacy vulnerabilities of encrypted iot traffic"
    - "information theoretic privacy with general distortion constraints"
    - "hypothesis testing under maximal leakage privacy constraints"
    - "where you are is who you are user identification by matching statistics"
    - "achieving perfect location privacy in wireless devices using anonymization"
    - "hypothesis testing in the high privacy limit"
    - "asymptotically optimal matching of multiple sequences to source distributions and training sequences"

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.NI(Networking and Internet Architecture)