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 "interference channels with strong secrecy"):
  Abstract: It is known that given the real sum of two independent uniformly distributed lattice points from the same nested lattice codebook, the eavesdropper can obtain at most 1 bit of information per channel regarding the value of one of the lattice points. In this work, we study the effect of this 1 bit information on the equivocation expressed in three commonly used information theoretic measures, i.e., the Shannon entropy, the Renyi entropy and the min entropy. We then demonstrate its applications in an interference channel with a confidential message. In our previous work, we showed that nested lattice codes can outperform Gaussian codes for this channel when the achieved rate is measured with the weak secrecy notion. Here, with the Renyi entropy and the min entropy measure, we prove that the same secure degree of freedom is achievable with the strong secrecy notion as well. A major benefit of the new coding scheme is that the strong secrecy is generated from a single lattice point instead of a sequence of lattice points. Hence the mutual information between the confidential message and the observation of the eavesdropper decreases much faster with the number of channel uses than previously known strong secrecy coding methods for nested lattice codes.

Includes members:
  Member "the gaussian many to one interference channel with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "generalizing multiple access wiretap and wiretap ii channel models achievable rates and cost of strong secrecy")
  Member "secure degrees of freedom for gaussian channels with interference structured codes outperform gaussian signaling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "preserving confidentiality in the gaussian broadcast channel using compute and forward")
  Member "providing secrecy with structured codes tools and applications to two user gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")
  Member "providing secrecy with lattice codes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "perfect secrecy in physical layer network coding systems from structured interference")
  Member "k user interference channels achievable secrecy rate and degrees of freedom":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the secure degrees of freedom of the k user interference channel with delayed csit")
  Member "discrete memoryless interference and broadcast channels with confidential messages secrecy rate regions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cognitive radio networks an information theoretic perspective")
  Member "multi antenna gaussian broadcast channels with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cooperation with an untrusted relay a secrecy perspective")

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)