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: "finite snr regime analysis of the gaussian wiretap multiple access channel"
  Abstract: In this work, we consider a K-user Gaussian wiretap multiple-access channel (GW-MAC) in which each transmitter has an independent confidential message for the receiver. There is also an external eavesdropper who intercepts the communications. The goal is to transmit the messages reliably while keeping them confidential from the eavesdropper. To accomplish this goal, two different approaches have been proposed in prior works, namely, i.i.d. Gaussian random coding and real alignment. However, the former approach fails at moderate and high SNR regimes as its achievable result does not grow with SNR. On the other hand, while the latter approach gives a promising result at the infinite SNR regime, its extension to the finite-SNR regime is a challenging task. To fill the gap between the performance of the existing approaches, in this work, we establish a new scheme in which, at the receiver's side, it utilizes an extension of the compute-and-forward decoding strategy and at the transmitters' side it exploits lattice alignment, cooperative jamming, and i.i.d. random codes. For the proposed scheme, we derive a new achievable bound on sum secure rate which scales with log(SNR) and hence it outperforms the i.i.d. Gaussian codes in moderate and high SNR regimes. We evaluate the performance of our scheme, both theoretically and numerically. Furthermore, we show that our sum secure rate achieves the optimal sum secure degrees of freedom in the infinite-SNR regime.

Connected through hyperedge HE-1 (induced by source paper "adding common randomness can remove the secrecy constraints in communication networks"):
  with members:
    - "secure communication over interference channel to jam or not to jam"
    - "adding a helper can totally remove the secrecy constraints in interference channel"
    - "optimal secure gdof of symmetric gaussian wiretap channel with a helper"
    - "secure degrees of freedom of one hop wireless networks with no eavesdropper csit"
    - "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "secure degrees of freedom of k user gaussian interference channels a unified view"

Connected through hyperedge HE-2 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper"):
  with members:
    - "secure communication over interference channel to jam or not to jam"
    - "adding a helper can totally remove the secrecy constraints in interference channel"
    - "secure degrees of freedom of one hop wireless networks with no eavesdropper csit"
    - "on the optimality of secure communication without using cooperative jamming"
    - "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper"
    - "the wiretapped diamond relay channel"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"

Connected through hyperedge HE-3 (induced by source paper "on the gaussian multiple access wiretap channel and the gaussian wiretap channel with a helper achievable schemes and upper bounds"):
  with members:
    - "secure degrees of freedom of one hop wireless networks with no eavesdropper csit"
    - "on the deterministic sum capacity of the multiple access wiretap channel"
    - "on multiuser gain and the constant gap sum capacity of the gaussian interfering multiple access channel"
    - "secure degrees of freedom of the multiple access wiretap channel with multiple antennas"
    - "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper"
    - "secure degrees of freedom of the gaussian diamond wiretap channel"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"

Connected through hyperedge HE-4 (induced by source paper "preserving confidentiality in the gaussian broadcast channel using compute and forward"):
  with members:
    - "security in the gaussian interference channel weak and moderately weak interference regimes"
    - "compute and forward can buy secrecy cheap"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "secure degrees of freedom of k user gaussian interference channels a unified view"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "secure degrees of freedom for gaussian channels with interference structured codes outperform gaussian signaling"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-5 (induced by source paper "security in the gaussian interference channel weak and moderately weak interference regimes"):
  with members:
    - "compute and forward can buy secrecy cheap"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "secure degrees of freedom of k user gaussian interference channels a unified view"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "compute and forward harnessing interference through structured codes"
    - "discrete memoryless interference and broadcast channels with confidential messages secrecy rate regions"
    - "on the role of mmse estimation in approaching the information theoretic limits of linear gaussian channels shannon meets wiener"

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)