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 via the trapdoor channel"
  Abstract: A battery charging policy that provides privacy guarantees for smart meter systems with finite capacity battery is proposed. For this policy an upper bound on the information leakage rate is provided. The upper bound applies for general random processes modelling the energy consumption of the user. It is shown that the average energy consumption of the user determines the information leakage rate to the utility provider. The upper bound is shown to be tight by deriving the probability law of a random process achieving the bound.

Connected through hyperedge HE-1 (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 with renewable energy and a finite capacity battery"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "smart meter privacy a utility privacy framework"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-2 (induced by source paper "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "information theoretic privacy for smart metering systems with a rechargeable battery"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-3 (induced by source paper "privacy aware smart metering progress and challenges"):
  with members:
    - "optimal demand side management for joint privacy cost optimization with energy storage"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "information theoretic privacy for smart metering systems with a rechargeable battery"
    - "privacy optimal strategies for smart metering systems with a rechargeable battery"
    - "smart meter privacy with an energy harvesting device and instantaneous power constraints"
    - "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes"
    - "smart meter privacy for multiple users in the presence of an alternative energy source"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-4 (induced by source paper "stealth attacks on the smart grid"):
  with members:
    - "information theoretic attacks in the smart grid"
    - "increasing smart meter privacy through energy harvesting and storage devices"
    - "effective secrecy reliability confusion and stealth"
    - "sparse attack construction and state estimation in the smart grid centralized and distributed models"

Connected through hyperedge HE-5 (induced by source paper "information theoretic attacks in the smart grid"):
  with members:
    - "increasing smart meter privacy through energy harvesting and storage devices"
    - "effective secrecy reliability confusion and stealth"
    - "sparse attack construction and state estimation in the smart grid centralized and distributed models"

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)