human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "secure degrees of freedom of one hop wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")
  Member "multiaccess channel with partially cooperating encoders and security constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "secure lossy source coding for some classes of helper and gray wyner models")
  Member "secure degrees of freedom of k user gaussian interference channels a unified view":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "adding common randomness can remove the secrecy constraints in communication networks")
  Member "secure degrees of freedom of mimo x channels with output feedback and delayed csit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "achievable dof regions of three user mimo broadcast channel with delayed csit")
  Member "on x channels with feedback and delayed csi":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the degrees of freedom of mimo x networks with non cooperation transmitters")
  Member "secure communication over parallel relay channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the arbitrarily varying relay channel")
  Member "on achievable degrees of freedom for mimo x channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on cooperative multiple access channels with delayed csi at transmitters")
  Member "interference alignment for secrecy":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "adding common randomness can remove the secrecy constraints in communication networks")

Question: Please tell me which class the source paper 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)