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 "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"):
  Abstract: Recently,    $\varepsilon $   -almost dual universal2 hash functions have been proposed as a new and wider class of hash functions. Using this class of hash functions, several efficient hash functions were proposed. This paper evaluates the security performance when we apply this kind of hash functions. We evaluate the security in several kinds of setting based on the    $L_{1}$    distinguishability criterion and the modified mutual information criterion. The obtained evaluation is based on smoothing of Renyi entropy of order 2 and/or min entropy. We clarify the difference between these two methods.

Includes members:
  Member "secure multiplex coding with dependent and non uniform multiple messages":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exact exponent for soft covering")
  Member "uniform random number generation from markov chains non asymptotic and asymptotic analyses":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions")
  Member "equivocations exponents and second order coding rates under various r enyi information measures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the renyi capacity and center")
  Member "non asymptotic and asymptotic analyses of information processing on markov chains":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "semi finite length analysis for information theoretic tasks")
  Member "tight exponential analysis of universally composable privacy amplification and its applications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "communication for generating correlation a unifying survey")
  Member "secret key generation from gaussian sources using lattice hashing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "group secret key generation using algebraic rings in wireless networks")
  Member "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "two way physical layer security protocol for gaussian channels")
  Member "exponential decreasing rate of leaked information in universal random privacy amplification":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "communication for generating correlation a unifying survey")

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)