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: "controllable identifier measurements for private authentication with secret keys"
  Abstract: The problem of secret-key based authentication under a privacy constraint on the source sequence is considered. The identifier measurements during authentication are assumed to be controllable via a cost-constrained “action” sequence. Single-letter characterizations of the optimal trade-off among the secret-key rate, storage rate, privacy-leakage rate, and action cost are given for the four problems where noisy or noiseless measurements of the source are enrolled to generate or embed secret keys. The results are relevant for several user-authentication scenarios, including physical and biometric authentications with multiple measurements. Our results include, as special cases, new results for secret-key generation and embedding with action-dependent side information without any privacy constraint on the enrolled source sequence.

Connected through hyperedge HE-1 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication"):
  with members:
    - "private authentication with physical identifiers through broadcast channel measurements"
    - "secure and reliable key agreement with physical unclonable functions"
    - "coding for positive rate in the source model key agreement problem"
    - "code constructions for physical unclonable functions and biometric secrecy systems"
    - "privacy secrecy and storage with multiple noisy measurements of identifiers"
    - "converses for secret key agreement and secure computing"
    - "polar coding for secret key generation"
    - "secret key generation using correlated sources and channels"

Connected through hyperedge HE-2 (induced by source paper "private authentication with physical identifiers through broadcast channel measurements"):
  with members:
    - "secure and reliable key agreement with physical unclonable functions"
    - "privacy secrecy and storage with multiple noisy measurements of identifiers"
    - "polar coding for secret key generation"
    - "achievability proof via output statistics of random binning"

Connected through hyperedge HE-3 (induced by source paper "private authentication optimal information theoretic schemes"):
  with members:
    - "the capacity of private information retrieval"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "vespa vehicular security and privacy preserving architecture"
    - "using the physical layer for wireless authentication in time variant channels"

Connected through hyperedge HE-4 (induced by source paper "code constructions for physical unclonable functions and biometric secrecy systems"):
  with members:
    - "secure and reliable key agreement with physical unclonable functions"
    - "privacy secrecy and storage with multiple noisy measurements of identifiers"
    - "the likelihood encoder for lossy compression"
    - "polar coding for secret key generation"
    - "informational divergence approximations to product distributions"
    - "secret key generation using correlated sources and channels"
    - "separation of reliability and secrecy in rate limited secret key generation"
    - "achievability proof via output statistics of random binning"

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)