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: "smart meter privacy a utility privacy framework"
  Abstract: End-user privacy in smart meter measurements is a well-known challenge in the smart grid. The solutions offered thus far have been tied to specific technologies such as batteries or assumptions on data usage. Existing solutions have also not quantified the loss of benefit (utility) that results from any such privacy-preserving approach. Using tools from information theory, a new framework is presented that abstracts both the privacy and the utility requirements of smart meter data. This leads to a novel privacy-utility tradeoff problem with minimal assumptions that is tractable. Specifically for a stationary Gaussian Markov model of the electricity load, it is shown that the optimal utility-and-privacy preserving solution requires filtering out frequency components that are low in power, and this approach appears to encompass most of the proposed privacy approaches.

Connected through hyperedge HE-1 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility"):
  with members:
    - "the utility cost of robust privacy guarantees"
    - "hypothesis testing under maximal leakage privacy constraints"
    - "an estimation theoretic view of privacy"
    - "on maximal correlation mutual information and data privacy"
    - "maximal correlation secrecy"
    - "from the information bottleneck to the privacy funnel"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "privacy against statistical inference"

Connected through hyperedge HE-2 (induced by source paper "universal mutual information privacy guarantees for smart meters"):
  with members:
    - "a tunable measure for information leakage"
    - "privacy aware smart metering progress and challenges"
    - "joint privacy cost optimization in smart electricity metering systems"
    - "information theoretic analysis of generalization capability of learning algorithms"
    - "smart meter privacy via the trapdoor channel"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-3 (induced by source paper "information theoretic privacy through chaos synchronization and optimal additive noise"):
  with members:
    - "on privacy of quantized sensor measurements through additive noise"
    - "managing your private and public data bringing down inference attacks against your privacy"
    - "privacy constrained information processing"
    - "increasing smart meter privacy through energy harvesting and storage devices"
    - "the optimal mechanism in differential privacy"
    - "privacy against statistical inference"

Connected through hyperedge HE-4 (induced by source paper "privacy enhancing aggregation of internet of things data via sensors grouping"):
  with members:
    - "optimization of privacy utility trade offs under informational self determination"
    - "t closeness through microaggregation strict privacy with enhanced utility preservation"

Connected through hyperedge HE-5 (induced by source paper "smart meter privacy via the trapdoor channel"):
  with members:
    - "smart meter privacy with renewable energy and a finite capacity battery"

Connected through hyperedge HE-6 (induced by source paper "providing privacy safety and security in iot based transactive energy systems using distributed ledgers"):
  with members:
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-7 (induced by source paper "privacy enhanced architecture for occupancy based hvac control"):
  with members:
    - "privacy against statistical inference"

Connected through hyperedge HE-8 (induced by source paper "privacy optimal strategies for smart metering systems with a rechargeable battery"):
  with members:
    - "optimal zero delay coding of markov sources stationary and finite memory codes"
    - "smart meter privacy with an energy harvesting device and instantaneous power constraints"
    - "beyond the entropy power inequality via rearrangements"
    - "increasing smart meter privacy through energy harvesting and storage devices"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "an information theoretic approach to privacy"
    - "the capacity of channels with feedback"

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)