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: "privacy secrecy and storage with multiple noisy measurements of identifiers"
  Abstract: The key-leakage-storage region is derived for a generalization of a classic two-terminal key agreement model. The additions to the model are that the encoder observes a hidden, or noisy, version of the identifier, and that the encoder and decoder can perform multiple measurements. To illustrate the behavior of the region, the theory is applied to binary identifiers and noise modeled via binary symmetric channels. In particular, the key-leakage-storage region is simplified by applying Mrs. Gerber's lemma twice in different directions to a Markov chain. The growth in the region as the number of measurements increases is quantified. The amount by which the privacy-leakage rate reduces for a hidden identifier as compared to a noise-free (visible) identifier at the encoder is also given. If the encoder incorrectly models the source as visible, it is shown that substantial secrecy leakage may occur and the reliability of the reconstructed key might decrease.

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"
    - "controllable identifier measurements for private authentication with secret keys"
    - "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"
    - "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 "fundamental limits of biometric identification systems with strong secrecy"):
  with members:
    - "private authentication with physical identifiers through broadcast channel measurements"
    - "identification secrecy template and privacy leakage of biometric identification system under noisy enrollment"
    - "fundamental limits of identification system with secret binding under noisy enrollment"
    - "a new wiretap channel model and its strong secrecy capacity"
    - "code constructions for physical unclonable functions and biometric secrecy systems"
    - "secret key based identification and authentication with a privacy constraint"
    - "achievability proof via output statistics of random binning"

Connected through hyperedge HE-3 (induced by source paper "private authentication with physical identifiers through broadcast channel measurements"):
  with members:
    - "controllable identifier measurements for private authentication with secret keys"
    - "secure and reliable key agreement with physical unclonable functions"
    - "polar coding for secret key generation"
    - "achievability proof via output statistics of random binning"

Connected through hyperedge HE-4 (induced by source paper "identification secrecy template and privacy leakage of biometric identification system under noisy enrollment"):
  with members:
    - "secret key based identification and authentication with a privacy constraint"

Connected through hyperedge HE-5 (induced by source paper "code constructions for physical unclonable functions and biometric secrecy systems"):
  with members:
    - "controllable identifier measurements for private authentication with secret keys"
    - "secure and reliable key agreement with physical unclonable functions"
    - "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)