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: "secrecy capacity analysis over kappa mu fading channels theory and applications"
  Abstract: In this paper, we consider the transmission of confidential information over a $\kappa$-$\mu$ fading channel in the presence of an eavesdropper, who also observes $\kappa$-$\mu$ fading. In particular, we obtain novel analytical solutions for the probability of strictly positive secrecy capacity (SPSC) and the lower bound of secure outage probability (SOP$^L$) for channel coefficients that are positive, real, independent and non-identically distributed ($i.n.i.d.$). We also provide a closed-form expression for the probability of SPSC when the $\mu$ parameter is assumed to only take positive integer values. We then apply the derived results to assess the secrecy performance of the system in terms of the average signal-to-noise ratio (SNR) as a function of the $\kappa$ and $\mu$ fading parameters. We observed that for fixed values of the eavesdropper's average SNR, increases in the average SNR of the main channel produce a higher probability of SPSC and a lower secure outage probability (SOP). It was also found that when the main channel experiences a higher average SNR than the eavesdropper's channel, the probability of SPSC improved while the SOP was found to decrease with increasing values of $\kappa$ and $\mu$ for the legitimate channel. The versatility of the $\kappa$-$\mu$ fading model, means that the results presented in this paper can be used to determine the probability of SPSC and SOP$^L$ for a large number of other fading scenarios such as Rayleigh, Rice (Nakagami-$n$), Nakagami-$m$, One-Sided Gaussian and mixtures of these common fading models. Additionally, due to the duality of the analysis of secrecy capacity and co-channel interference, the results presented here will also have immediate applicability in the analysis of outage probability in wireless systems affected by co-channel interference and background noise.

Connected through hyperedge HE-1 (induced by source paper "performance analysis of physical layer security over fluctuating beckmann fading channels"):
  with members:
    - "on physical layer security over fox s h function wiretap fading channels"
    - "effective rate analysis over fluctuating beckmann fading channels"
    - "secrecy analysis of physical layer over kappa mu shadowed fading scenarios"
    - "an extension of the kappa mu shadowed fading model statistical characterization and applications"
    - "secrecy outage analysis over correlated composite nakagami m gamma fading channels"

Connected through hyperedge HE-2 (induced by source paper "on physical layer security over fox s h function wiretap fading channels"):
  with members:
    - "rician k factor based analysis of xlos service probability in 5g outdoor ultra dense networks"
    - "performance analysis of project and forward relaying in mixed mimo pinhole and rayleigh dual hop channel"
    - "a novel unified expression for the capacity and bit error probability of wireless communication systems over generalized fading channels"

Connected through hyperedge HE-3 (induced by source paper "tunable measures for information leakage and applications to privacy utility tradeoffs"):
  with members:
    - "robustness of maximal alpha leakage to side information"
    - "data privacy for a rho recoverable function"
    - "an operational approach to information leakage"
    - "optimal utility privacy trade off with the total variation distance as the privacy measure"
    - "robust privacy utility tradeoffs under differential privacy and hamming distortion"
    - "privacy aware guessing efficiency"
    - "renyi differential privacy"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"

Connected through hyperedge HE-4 (induced by source paper "secrecy analysis of physical layer over kappa mu shadowed fading scenarios"):
  with members:
    - "the kappa mu shadowed fading model with integer fading parameters"
    - "a new formula for the ber of binary modulations with dual branch selection over generalized k"

Connected through hyperedge HE-5 (induced by source paper "approximate random matrix models for generalized fading mimo channels"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "performance analysis of mixed adc massive mimo systems over rician fading channels"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "spectral efficiency of mixed adc receivers for massive mimo systems"
    - "massive mimo ten myths and one critical question"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "on some unifications arising from the mimo rician shadowed model"

Connected through hyperedge HE-6 (induced by source paper "on the calculation of the incomplete mgf with applications to wireless communications"):
  with members:
    - "the kappa mu shadowed fading model with integer fading parameters"
    - "on the equivalence between interference and eavesdropping in wireless communications"
    - "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"
    - "a unified mgf based capacity analysis of diversity combiners over generalized fading channels"
    - "an mgf based unified framework to determine the joint statistics of partial sums of ordered random variables"

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)