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: "private authentication with physical identifiers through broadcast channel measurements"
  Abstract: A basic model for key agreement with biometric or physical identifiers is extended to include measurements of a hidden source through a general broadcast channel (BC). An inner bound for strong secrecy, maximum key rate, and minimum privacy-leakage and database-storage rates is proposed. The inner bound is shown to be tight for physically-degraded and less-noisy BCs.

Connected through hyperedge HE-1 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication"):
  with members:
    - "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"
    - "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 "fundamental limits of biometric identification systems with strong secrecy"):
  with members:
    - "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"
    - "privacy secrecy and storage with multiple noisy measurements of identifiers"
    - "secret key based identification and authentication with a privacy constraint"
    - "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)