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: "physical layer security over fluctuating two ray fading channels"
  Abstract: Ensuring the physical layer security (PHY-security) of millimeter wave (mmWave) communications is one of the key factors for the success of 5G. Recent field measurements show that conventional fading models cannot accurately model the random fluctuations of mmWave signals. To tackle this challenge, the fluctuating two-ray (FTR) fading model has been proposed. In this correspondence, we comprehensively analyze the PHY-security in mmWave communications over FTR fading channels. More specifically, we derive analytical expressions for significant PHY-security metrics, such as average secrecy capacity, secrecy outage probability, and the probability of strictly positive secrecy capacity, with simple functions. The effect of channel parameters on the PHY-security has been validated by numerical results.

Connected through hyperedge HE-1 (induced by source paper "unveiling the hyper rayleigh regime of the fluctuating two ray fading model"):
  with members:
    - "new results on the fluctuating two ray model with arbitrary fading parameters and its applications"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"
    - "mgf approach to the analysis of generalized two ray fading models"
    - "a new framework for the performance analysis of wireless communications under hoyt nakagami q fading"

Connected through hyperedge HE-2 (induced by source paper "on the beneficial role of a finite number of scatterers for wireless physical layer security"):
  with members:
    - "secrecy rate maximization for intelligent reflecting surface assisted multi antenna communications"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"
    - "rethinking the secrecy outage formulation a secure transmission design perspective"

Connected through hyperedge HE-3 (induced by source paper "a simple evaluation for the secrecy outage probability over generalized k fading channels"):
  with members:
    - "secrecy outage analysis over correlated composite nakagami m gamma fading channels"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"

Connected through hyperedge HE-4 (induced by source paper "further applications of wireless communication systems over alpha eta kappa mu fading channels"):
  with members:
    - "selection combining scheme over non identically distributed fisher snedecor f fading channels"

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)