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: "on the shannon cipher system with a wiretapper guessing subject to distortion and reliability requirements"
  Abstract: We modify the problem studied by Merhav and Arikan (see IEEE Trans. Inform. Theory, vol.45, no.6, p.1860-6, 1999) of discrete memoryless source encrypted messages guessing by wiretapper within given distortion level /spl Delta/ in the case of Shannon cipher system. The security of the system is measured by the expected number of guesses of a wiretapper needed for the reconstruction of the source messages on the base of cryptograms. The main modification is consideration of the distortion and reliability criteria and of possibility to limit the number of guesses.

Connected through hyperedge HE-1 (induced by source paper "a large deviations approach to secure lossy compression"):
  with members:
    - "measuring secrecy by the probability of a successful guess"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "optimum trade offs between the error exponent and the excess rate exponent of variable rate slepian wolf coding"
    - "rate distortion theory for secrecy systems"
    - "errors and erasures decoding for block codes with feedback"
    - "secrecy is cheap if the adversary must reconstruct"
    - "using a secret key to foil an eavesdropper"
    - "secure lossless compression with side information"

Connected through hyperedge HE-2 (induced by source paper "the henchman problem measuring secrecy by the minimum distortion in a list"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "the likelihood encoder for lossy source compression"
    - "the likelihood encoder for source coding"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"

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)