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: "real time detection of hybrid and stealthy cyber attacks in smart grid"
  Abstract: For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of critical importance. Moreover, considering smarter and more capable attackers, robust detection mechanisms are needed against a diverse range of cyber-attacks. With these purposes, we propose a robust online detection algorithm for (possibly combined) false data injection and jamming attacks, that also provides online estimates of the unknown and time-varying attack parameters and recovered state estimates. Further, considering smarter attackers that are capable of designing stealthy attacks to prevent the detection or to increase the detection delay of the proposed algorithm, we propose additional countermeasures. Numerical studies illustrate the quick and reliable response of the proposed detection mechanisms against hybrid and stealthy cyber-attacks.

Connected through hyperedge HE-1 (induced by source paper "secure distributed dynamic state estimation in wide area smart grids"):
  with members:
    - "online cyber attack detection in smart grid a reinforcement learning approach"
    - "real time nonparametric anomaly detection in high dimensional settings"
    - "untangling blockchain a data processing view of blockchain systems"

Connected through hyperedge HE-2 (induced by source paper "multisensor sequential change detection with unknown change propagation pattern"):
  with members:
    - "distributed detection of a non cooperative target via generalized locally optimum approaches"
    - "cooperative change detection for voltage quality monitoring in smart grids"
    - "quickest change detection of a markov process across a sensor array"
    - "one shot schemes for decentralized quickest change detection"

Connected through hyperedge HE-3 (induced by source paper "online cyber attack detection in smart grid a reinforcement learning approach"):
  with members:
    - "learning finite state controllers for partially observable environments"
    - "learning policies with external memory"

Connected through hyperedge HE-4 (induced by source paper "real time nonparametric anomaly detection in high dimensional settings"):
  with members:
    - "secure distributed dynamic state estimation in wide area smart grids"
    - "multisensor sequential change detection with unknown change propagation pattern"
    - "online cyber attack detection in smart grid a reinforcement learning approach"
    - "n baiot network based detection of iot botnet attacks using deep autoencoders"
    - "anomaly detection with score functions based on nearest neighbor graphs"
    - "a kernel method for the two sample problem"

Connected through hyperedge HE-5 (induced by source paper "security attacks on smart grid scheduling and their defences a game theoretic approach"):
  with members:
    - "state of the art of cyber physical systems security an automatic control perspective"
    - "a dynamic game approach for demand side management scheduling energy storage with forecasting errors"

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)