human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "controllable identifier measurements for private authentication with secret keys":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication")
  Member "secure and reliable key agreement with physical unclonable functions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication")
  Member "privacy secrecy and storage with multiple noisy measurements of identifiers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication")
  Member "polar coding for secret key generation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "explicit codes for the wiretap channel a unified design framework")
  Member "achievability proof via output statistics of random binning":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication")

Question: Please tell me which class the source paper 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)