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 "optimal communication strategies in networked cyber physical systems with adversarial elements"):
  Abstract: This paper studies optimal communication and coordination strategies in cyber-physical systems for both defender and attacker within a game-theoretic framework. We model the communication network of a cyber-physical system as a sensor network which involves one single Gaussian source observed by many sensors, subject to additive independent Gaussian observation noises. The sensors communicate with the estimator over a coherent Gaussian multiple access channel. The aim of the receiver is to reconstruct the underlying source with minimum mean squared error. The scenario of interest here is one where some of the sensors are captured by the attacker and they act as the adversary (jammer): they strive to maximize distortion. The receiver (estimator) knows the captured sensors but still cannot simply ignore them due to the multiple access channel, i.e., the outputs of all sensors are summed to generate the estimator input. We show that the ability of transmitter sensors to secretly agree on a random event, that is "coordination", plays a key role in the analysis...

Includes members:
  Member "information theoretic approach to strategic communication as a hierarchical game":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic information design a simple problem on optimal sequential information disclosure")
  Member "power distortion metrics for path planning over gaussian sensor networks":
    also connected through other hyperedges:
      (none)
  Member "matched multiuser gaussian source channel communications via uncoded schemes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "communicating correlated sources over mac and interference channels i separation based schemes")
  Member "optimal power allocation for parameter tracking in a distributed amplify and forward sensor network":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "over the air computation systems optimization analysis and scaling laws")
  Member "gaussian sensor networks with adversarial nodes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "power distortion metrics for path planning over gaussian sensor networks")
  Member "on scaling laws of diversity schemes in decentralized estimation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal power allocation for parameter tracking in a distributed amplify and forward sensor network")
  Member "distributed source coding in the presence of byzantine sensors":
    also connected through other hyperedges:
      (none)

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.GT(Computer Science and Game Theory)