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: "lossless compression with security constraints"
  Abstract: Secure distributed data compression in the presence of an eavesdropper is explored. Two correlated sources that need to be reliably transmitted to a legitimate receiver are available at separate encoders. Noise-free, limited rate links from the encoders to the legitimate receiver, one of which can also be perfectly observed by the eavesdropper, are considered. The eavesdropper also has its own correlated observation. Inner and outer bounds on the achievable compression-equivocation rate region are given. Several different scenarios involving the side information at the transmitters as well as multiple receivers/eavesdroppers are also considered.

Connected through hyperedge HE-1 (induced by source paper "privacy aware distributed hypothesis testing"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "distributed hypothesis testing with privacy constraints"
    - "technical privacy metrics a systematic survey"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "privacy against a hypothesis testing adversary"
    - "on the reliability function of distributed hypothesis testing under optimal detection"
    - "distributed hypothesis testing over discrete memoryless channels"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"

Connected through hyperedge HE-2 (induced by source paper "distributed hypothesis testing with a privacy constraint"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "distributed hypothesis testing with privacy constraints"
    - "technical privacy metrics a systematic survey"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "privacy against a hypothesis testing adversary"
    - "on the reliability function of distributed hypothesis testing under optimal detection"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"
    - "on binary distributed hypothesis testing"

Connected through hyperedge HE-3 (induced by source paper "an operational approach to information leakage"):
  with members:
    - "estimation efficiency under privacy constraints"
    - "technical privacy metrics a systematic survey"
    - "measuring secrecy by the probability of a successful guess"
    - "principal inertia components and applications"
    - "privacy utility tradeoffs under constrained data release mechanisms"
    - "hypothesis testing under maximal leakage privacy constraints"
    - "a large deviations approach to secure lossy compression"
    - "mitigating timing side channel in shared schedulers"

Connected through hyperedge HE-4 (induced by source paper "measuring secrecy by the probability of a successful guess"):
  with members:
    - "a large deviations approach to secure lossy compression"
    - "mitigating timing side channel in shared schedulers"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "rate distortion theory for secrecy systems"
    - "improved rate equivocation regions for secure cooperative communication"
    - "anonymous networking amidst eavesdroppers"
    - "shannon s secrecy system with informed receivers and its application to systematic coding for wiretapped channels"

Connected through hyperedge HE-5 (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-6 (induced by source paper "privacy constrained remote source coding"):
  with members:
    - "lossless secure source coding yamamoto s setting"
    - "from the information bottleneck to the privacy funnel"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "on secure source coding with side information at the encoder"
    - "rate distortion theory for secrecy systems"
    - "privacy against statistical inference"
    - "discriminatory lossy source coding side information privacy"

Connected through hyperedge HE-7 (induced by source paper "the ceo problem with secrecy constraints"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "on secure source coding with side information at the encoder"
    - "secure source coding with a public helper"
    - "rate distortion theory for secrecy systems"
    - "discriminatory lossy source coding side information privacy"
    - "multiterminal source coding under logarithmic loss"
    - "secure lossy source coding with side information at the decoders"
    - "secure source coding with a helper"

Connected through hyperedge HE-8 (induced by source paper "lossless secure source coding yamamoto s setting"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "secrecy is cheap if the adversary must reconstruct"
    - "secure source coding with a helper"
    - "secure lossless compression with side information"

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)