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: "compute and forward can buy secrecy cheap"
  Abstract: We consider a Gaussian multiple access channel with $K$ transmitters, a (intended) receiver and an external eavesdropper. The transmitters wish to reliably communicate with the receiver while concealing their messages from the eavesdropper. This scenario has been investigated in prior works using two different coding techniques; the random i.i.d. Gaussian coding and the signal alignment coding. Although, the latter offers promising results in a very high SNR regime, extending these results to the finite SNR regime is a challenging task. In this paper, we propose a new lattice alignment scheme based on the compute-and-forward framework which works at any finite SNR. We show that our achievable secure sum rate scales with $\log(\mathrm{SNR})$ and hence, in most SNR regimes, our scheme outperforms the random coding scheme in which the secure sum rate does not grow with power. Furthermore, we show that our result matches the prior work in the infinite SNR regime. Additionally, we analyze our result numerically.

Connected through hyperedge HE-1 (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"
    - "finite snr regime analysis of the gaussian wiretap multiple access channel"
    - "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-2 (induced by source paper "security in the gaussian interference channel weak and moderately weak interference regimes"):
  with members:
    - "finite snr regime analysis of the gaussian wiretap multiple access channel"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper"):
  with members:
    - "enabling the multi user generalized degrees of freedom in the gaussian cellular channel"
    - "upper bounds and duality relations of the linear deterministic sum capacity for cellular systems"
    - "secure degrees of freedom of the gaussian wiretap channel with helpers and no eavesdropper csi blind cooperative jamming"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "the two user gaussian interference channel a deterministic view"
    - "a deterministic approach to wireless relay networks"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-4 (induced by source paper "finite snr regime analysis of the gaussian wiretap multiple access channel"):
  with members:
    - "secure degrees of freedom of one hop wireless networks"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "on the secure degrees of freedom of the multiple access channel"
    - "compute and forward harnessing interference through structured codes"
    - "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.CR(Cryptography and Security)