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 "a rate distortion based secrecy system with side information at the decoders"):
  Abstract: A secrecy system with side information at the decoders is studied in the context of lossy source compression over a noiseless broadcast channel. The decoders have access to different side information sequences that are correlated with the source. The fidelity of the communication to the legitimate receiver is measured by a distortion metric, as is traditionally done in the Wyner-Ziv problem. The secrecy performance of the system is also evaluated under a distortion metric. An achievable rate-distortion region is derived for the general case of arbitrarily correlated side information. Exact bounds are obtained for several special cases in which the side information satisfies certain constraints. An example is considered in which the side information sequences come from a binary erasure channel and a binary symmetric channel.

Includes members:
  Member "secure transmission of sources over noisy channels with side information at the receivers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "secret key generation over noisy channels with correlated sources")
  Member "the likelihood encoder for lossy source compression":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the likelihood encoder for lossy compression")
  Member "a bit of secrecy for gaussian source compression":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "gaussian secure source coding and wyner s common information")
  Member "the likelihood encoder for source coding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the likelihood encoder for lossy compression")
  Member "distributed channel synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "gaussian approximation of quantization error for estimation from compressed data")
  Member "rate distortion theory for secrecy systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "privacy aware distributed hypothesis testing")
  Member "secrecy is cheap if the adversary must reconstruct":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a large deviations approach to secure lossy compression")
  Member "using a secret key to foil an eavesdropper":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a large deviations approach to secure lossy compression")

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)