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: "secure degrees of freedom of wireless x networks using artificial noise alignment"
  Abstract: The problem of transmitting confidential messages in    $M\times K$   wireless X networks is considered in which each transmitter intends to send one confidential message to every receiver. In particular, the secure degrees of freedom (SDOF) of the considered network are studied based on an artificial noise alignment (ANA) approach, which integrates interference alignment and artificial noise transmission. At first, an SDOF upper bound is derived for the    $M\times K$   X network with confidential messages (XNCM) to be    $\frac{K(M-1)}{K+M-2} $  . By proposing an ANA approach, it is shown that the SDOF upper bound is tight when    $K=2$   for the considered XNCM with time-/frequency-varying channels. For    $K\ge 3$  , it is shown that SDOF of    $\frac{K(M-1)}{K+M-1} $   can be achieved, even when an external eavesdropper is present. The key idea of the proposed scheme is to inject artificial noise into the network, which can be aligned in the interference space at receivers for confidentiality. Moreover, for the network with no channel state information at transmitters, a blind ANA scheme is proposed to achieve SDOF of    $\frac{K(M-1)}{K+M-1}$   for    $K,M\ge 2$  , with reconfigurable antennas at receivers. The proposed method provides a linear approach to secrecy coding and interference alignment.

Connected through hyperedge HE-1 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication"):
  with members:
    - "codedprivateml a fast and privacy preserving framework for distributed machine learning"
    - "x secure t private information retrieval from mds coded storage with byzantine and unresponsive servers"
    - "distributed and private coded matrix computation with flexible communication load"
    - "secure coded multi party computation for massive matrix operations"
    - "on the asymptotic capacity of x secure t private information retrieval with graph based replicated storage"
    - "private secure coded computation"
    - "coded matrix multiplication on a group based model"
    - "cross subspace alignment codes for coded distributed batch computation"

Connected through hyperedge HE-2 (induced by source paper "physical layer security for spectrum sharing systems"):
  with members:
    - "a survey on wireless security technical challenges recent advances and future trends"
    - "securing physical layer communications for cognitive radio networks"
    - "relay selection improves the security reliability trade off in cognitive radio systems"
    - "optimal relay selection for physical layer security in cooperative wireless networks"
    - "physical layer security with multiuser scheduling in cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "secure degrees of freedom region of the two user miso broadcast channel with alternating csit"):
  with members:
    - "aligned image sets under channel uncertainty settling a conjecture by lapidoth shamai and wigger on the collapse of degrees of freedom under finite precision csit"
    - "on the degrees of freedom of the 3 user miso broadcast channel with hybrid csit"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "dof analysis of the k user miso broadcast channel with alternating csit"
    - "on the dof region of the k user miso broadcast channel with hybrid csit"
    - "linear degrees of freedom of the mimo x channel with delayed csit"
    - "secure degrees of freedom of mimo x channels with output feedback and delayed csit"
    - "on x channels with feedback and delayed csi"

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)