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: "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.

Connected through hyperedge HE-1 (induced by source paper "finite blocklength bounds for wiretap channels"):
  with members:
    - "e_ gamma resolvability"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"
    - "on the secrecy exponent of the wire tap channel"
    - "converses for secret key agreement and secure computing"
    - "information spectrum approach to strong converse theorems for degraded wiretap channels"
    - "strong converse for a degraded wiretap channel via active hypothesis testing"
    - "bayesian m ary hypothesis testing the meta converse and verd u han bounds are tight"

Connected through hyperedge HE-2 (induced by source paper "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"):
  with members:
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "asymmetric evaluations of erasure and undetected error probabilities"
    - "list decoding random coding exponents and expurgated exponents"
    - "encoding tasks and renyi entropy"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "erasure list exponents for slepian wolf decoding"

Connected through hyperedge HE-3 (induced by source paper "uniform random number generation from markov chains non asymptotic and asymptotic analyses"):
  with members:
    - "second order coding rates for channels with state"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "second order resolvability intrinsic randomness and fixed length source coding for mixed sources information spectrum approach"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "universal strongly secure network coding with dependent and non uniform messages"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"

Connected through hyperedge HE-4 (induced by source paper "equivocations exponents and second order coding rates under various r enyi information measures"):
  with members:
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "exact random coding secrecy exponents for the wiretap channel"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the sender excited secret key agreement model capacity reliability and secrecy exponents"
    - "on the secrecy exponent of the wire tap channel"
    - "asymmetric evaluations of erasure and undetected error probabilities"
    - "second order coding rates for channels with state"
    - "on the dispersions of three network information theory problems"

Connected through hyperedge HE-5 (induced by source paper "non asymptotic and asymptotic analyses of information processing on markov chains"):
  with members:
    - "second order coding rates for channels with state"
    - "the saddlepoint approximation unified random coding asymptotics for fixed and varying rates"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"
    - "information spectrum approach to second order coding rate in channel coding"
    - "second order asymptotics in fixed length source coding and intrinsic randomness"

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)