human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "privacy optimal strategies for smart metering systems with a rechargeable battery"):
  Abstract: In smart-metered systems, fine-grained power demand data (load profile) is communicated from a user to the utility provider. The correlation of the load profile with a user's private activities leaves open the possibility of inference attacks. Using a rechargeable battery, the user can partially obscure its load profile and provide some protection to the private information using various battery charging policies. Using the mutual information as the privacy metric we study a class of optimal battery charging policies. #R##N#When the power demand is a first-order Markov process, we propose a series of reductions on the optimization problem and ultimately recast it as a Markov decision process. In the special case of i.i.d. demand, we explicitly characterize the optimal policy and show that the associated privacy-leakage can be expressed as a single-letter mutual information expression.

Includes members:
  Member "optimal zero delay coding of markov sources stationary and finite memory codes":
    also connected through other hyperedges:
      (none)
  Member "smart meter privacy with an energy harvesting device and instantaneous power constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "privacy aware smart metering progress and challenges")
  Member "beyond the entropy power inequality via rearrangements":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "two remarks on generalized entropy power inequalities")
  Member "increasing smart meter privacy through energy harvesting and storage devices":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "information theoretic privacy through chaos synchronization and optimal additive noise")
  Member "utility privacy tradeoffs in databases an information theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility")
  Member "smart meter privacy a utility privacy framework":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility")
  Member "an information theoretic approach to privacy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "hypothesis testing under mutual information privacy constraints in the high privacy regime")
  Member "the capacity of channels with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a connection between feedback capacity and kalman filter for colored gaussian noises")

Question: Please tell me which class the source paper 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)