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: "optimal secure two layer iot network design"
  Abstract: With the remarkable growth of the Internet and communication technologies over the past few decades, Internet of Things (IoTs) is enabling the ubiquitous connectivity of heterogeneous physical devices with software, sensors, and actuators. IoT networks are naturally two-layer with the cloud and cellular networks coexisting with the underlaid device-todevice (D2D) communications. The connectivity of IoTs plays an important role in information dissemination for missioncritical and civilian applications. However, IoT communication networks are vulnerable to cyber attacks including the denialof- service (DoS) and jamming attacks, resulting in link removals in IoT network. In this work, we develop a heterogeneous IoT network design framework in which a network designer can add links to provide additional communication paths between two nodes or secure links against attacks by investing resources. By anticipating the strategic cyber attacks, we characterize the optimal design of secure IoT network by first providing a lower bound on the number of links a secure network requires for a given budget of protected links, and then developing a method to construct networks that satisfy the heterogeneous network design specifications. Therefore, each layer of the designed heterogeneous IoT network is resistant to a predefined level of malicious attacks with minimum resources. Finally, we provide case studies on the Internet of Battlefield Things (IoBT) to corroborate and illustrate our obtained results

Connected through hyperedge HE-1 (induced by source paper "security of distributed machine learning a game theoretic approach to design secure dsvm"):
  with members:
    - "interdependent strategic security risk management with bounded rationality in the internet of things"
    - "consensus based transfer linear support vector machines for decentralized multi task multi agent learning"
    - "evasion attacks against machine learning at test time"
    - "poisoning attacks against support vector machines"

Connected through hyperedge HE-2 (induced by source paper "a games in games approach to mosaic command and control design of dynamic network of networks for secure and resilient multi domain operations"):
  with members:
    - "interdependent strategic security risk management with bounded rationality in the internet of things"
    - "dynamic bayesian games for adversarial and defensive cyber deception"
    - "a multi layer feedback system approach to resilient connectivity of remotely deployed mobile internet of things"
    - "adaptive strategic cyber defense for advanced persistent threats in critical infrastructure networks"
    - "modeling and analysis of leaky deception using signaling games with evidence"
    - "istrict an interdependent strategic trust mechanism for the cloud enabled internet of controlled things"
    - "distributed and optimal resilient planning of large scale interdependent critical infrastructures"
    - "a game theoretic framework for resilient and distributed generation control of renewable energies in microgrids"

Connected through hyperedge HE-3 (induced by source paper "interdependent strategic security risk management with bounded rationality in the internet of things"):
  with members:
    - "istrict an interdependent strategic trust mechanism for the cloud enabled internet of controlled things"
    - "distributed and optimal resilient planning of large scale interdependent critical infrastructures"
    - "a dynamic game analysis and design of infrastructure network protection and recovery 125"
    - "resilient and decentralized control of multi level cooperative mobile networks to maintain connectivity under adversarial environment"
    - "flip the cloud cyber physical signaling games in the presence of advanced persistent threats"

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.GT(Computer Science and Game Theory)