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 with an energy harvesting device and instantaneous power constraints"
  Abstract: A smart meter (SM) periodically measures end-user electricity consumption and reports it to a utility provider (UP). Despite the advantages of SMs, their use leads to serious concerns about consumer privacy. In this paper, SM privacy is studied by considering the presence of an energy harvesting device (EHD) as a means of masking the user's input load. The user can satisfy part or all of his/her energy needs from the EHD, and hence, less information can be leaked to the UP via the SM. The EHD is typically equipped with a rechargeable energy storage device, i.e., a battery, whose instantaneous energy content limits the user's capability in covering his/her energy usage. Privacy is measured by the information leaked about the user's real energy consumption when the UP observes the energy requested from the grid, which the SM reads and reports to the UP. The minimum information leakage rate is characterized as a computable information theoretic single-letter expression when the EHD battery capacity is either infinite or zero. Numerical results are presented for a discrete binary input load to illustrate the potential privacy gains from the existence of a storage device.

Connected through hyperedge HE-1 (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"
    - "smart meter privacy via the trapdoor channel"
    - "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"
    - "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-2 (induced by source paper "smart meter privacy with renewable energy and a storage device"):
  with members:
    - "privacy protecting energy management unit through model distribution predictive control"
    - "sdp relaxation with randomized rounding for energy disaggregation"
    - "privacy optimal strategies 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 "smart meter privacy with renewable energy and a finite capacity battery"):
  with members:
    - "privacy optimal strategies for smart metering systems with a rechargeable battery"
    - "increasing smart meter privacy through energy harvesting and storage devices"
    - "the capacity of channels with feedback"

Connected through hyperedge HE-4 (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"
    - "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"
    - "smart meter privacy a utility privacy framework"
    - "an information theoretic approach to privacy"
    - "the capacity of channels with feedback"

Connected through hyperedge HE-5 (induced by source paper "information theoretic privacy for smart metering systems with a rechargeable battery"):
  with members:
    - "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"
    - "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)