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: "colonel blotto game for secure state estimation in interdependent critical infrastructure"
  Abstract: Securing the physical components of a city's interdependent critical infrastructure (ICI) such as power, natural gas, and water systems is a challenging task due to their interdependence and large number of involved sensors. Using a novel integrated state-space model that captures the interdependence, a two-stage cyber attack on ICI is studied in which the attacker first compromises the ICI's sensors by decoding their messages, and, subsequently, it alters the compromised sensors' data to cause state estimation errors. To thwart such attacks, the administrator of the CIs must assign protection levels to the sensors based on their importance in the state estimation process. To capture the interdependence between the attacker and the ICI administrator's actions and analyze their interactions, a Colonel Blotto game framework is proposed. The mixed-strategy Nash equilibrium of this game is derived analytically. At this equilibrium, it is shown that the administrator can strategically randomize between the protection levels of the sensors to deceive the attacker. Simulation results coupled with theoretical analysis show that, using the proposed game, the administrator can reduce the state estimation error by at least $ 50\% $ compared to any non-strategic action. The results also show that the ICI's administrator must consider the CIs inside a city as a unified ICI for security analysis instead of assigning independent protection levels to each individual CI, as is conventionally done.

Connected through hyperedge HE-1 (induced by source paper "an open source modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "joint communication and control for wireless autonomous vehicular platoon systems"
    - "cyber physical security and safety of autonomous connected vehicles optimal control meets multi armed bandit learning"
    - "optimal operation of interdependent power systems and electrified transportation networks"
    - "game theory for secure critical interdependent gas power water infrastructure"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "power grid vulnerability to geographically correlated failures analysis and control implications"

Connected through hyperedge HE-2 (induced by source paper "deep learning for signal authentication and security in massive internet of things systems"):
  with members:
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "fast uplink grant for machine type communications challenges and opportunities"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "deep learning based dynamic watermarking for secure signal authentication in the internet of things"
    - "cognitive hierarchy theory for distributed resource allocation in the internet of things"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "proactive resource management in lte u systems a deep learning perspective"
    - "deep reinforcement learning from self play in imperfect information games"

Connected through hyperedge HE-3 (induced by source paper "robust deep reinforcement learning for security and safety in autonomous vehicle systems"):
  with members:
    - "joint communication and control for wireless autonomous vehicular platoon systems"
    - "deep learning for signal authentication and security in massive internet of things systems"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "a colonel blotto game for interdependence aware cyber physical systems security in smart cities"
    - "deep reinforcement learning from self play in imperfect information games"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "speech recognition with deep recurrent neural networks"

Connected through hyperedge HE-4 (induced by source paper "deep learning based dynamic watermarking for secure signal authentication in the internet of things"):
  with members:
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "dynamic watermarking active defense of networked cyber physical systems"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "speech recognition with deep recurrent neural networks"

Connected through hyperedge HE-5 (induced by source paper "generalized colonel blotto game"):
  with members:
    - "game theory for secure critical interdependent gas power water infrastructure"

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.SY(Systems and Control)