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: "achieving secrecy capacity of the gaussian wiretap channel with polar lattices"
  Abstract: In this work, an explicit wiretap coding scheme based on polar lattices is proposed to achieve the secrecy capacity of the additive white Gaussian noise (AWGN) wiretap channel. Firstly, polar lattices are used to construct secrecy-good lattices for the mod-$\Lambda_s$ Gaussian wiretap channel. Then we propose an explicit shaping scheme to remove this mod-$\Lambda_s$ front end and extend polar lattices to the genuine Gaussian wiretap channel. The shaping technique is based on the lattice Gaussian distribution, which leads to a binary asymmetric channel at each level for the multilevel lattice codes. By employing the asymmetric polar coding technique, we construct an AWGN-good lattice and a secrecy-good lattice with optimal shaping simultaneously. As a result, the encoding complexity for the sender and the decoding complexity for the legitimate receiver are both O(N logN log(logN)). The proposed scheme is proven to be semantically secure.

Connected through hyperedge HE-1 (induced by source paper "well rounded lattices towards optimal coset codes for gaussian and fading wiretap channels"):
  with members:
    - "performance of lattice coset codes on a usrp testbed"
    - "on analytical and geometric lattice design criteria for wiretap coset codes"
    - "well rounded lattices for coset coding in mimo wiretap channels"
    - "information bounds and flatness factor approximation for fading wiretap mimo channels"
    - "theta series approximation with applications to compute and forward relaying"
    - "well rounded lattices for reliability and security in rayleigh fading siso channels"
    - "decoding in compute and forward relaying real lattices and the flatness of lattice sums"
    - "almost universal codes for fading wiretap channels"

Connected through hyperedge HE-2 (induced by source paper "semantic security on wiretap channels using universal hashing with fading applications"):
  with members:
    - "a capacity achieving coding scheme for the awgn channel with polynomial encoding and decoding complexity"
    - "finite blocklength bounds for wiretap channels"
    - "almost universal codes for fading wiretap channels"
    - "universal hashing for information theoretic security"
    - "semantically secure lattice codes for the gaussian wiretap channel"
    - "a cryptographic treatment of the wiretap channel"
    - "polynomial time semantically secure encryption achieving the secrecy capacity"
    - "strong secrecy from channel resolvability"

Connected through hyperedge HE-3 (induced by source paper "markov chain monte carlo methods for lattice gaussian sampling convergence analysis and enhancement"):
  with members:
    - "boosted kz and lll algorithms"
    - "lattice gaussian sampling by markov chain monte carlo bounded distance decoding and trapdoor sampling"
    - "sensitivity gains by mismatched probabilistic shaping for optical communication systems"
    - "polar codes and polar lattices for independent fading channels"
    - "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel"
    - "fifty years of mimo detection the road to large scale mimos"
    - "on the geometric ergodicity of metropolis hastings algorithms for lattice gaussian sampling"
    - "optimized markov chain monte carlo for signal detection in mimo systems an analysis of the stationary distribution and mixing time"

Connected through hyperedge HE-4 (induced by source paper "markov chain monte carlo methods for lattice gaussian sampling lattice reduction and decoding optimization"):
  with members:
    - "boosted kz and lll algorithms"
    - "polar codes and polar lattices for independent fading channels"
    - "scan order in gibbs sampling models in which it matters and bounds on how much"
    - "optimized markov chain monte carlo for signal detection in mimo systems an analysis of the stationary distribution and mixing time"
    - "markov chain monte carlo algorithms for lattice gaussian sampling"
    - "semantically secure lattice codes for the gaussian wiretap channel"
    - "decoding by embedding correct decoding radius and dmt optimality"
    - "decoding by sampling part ii derandomization and soft output decoding"

Connected through hyperedge HE-5 (induced by source paper "semantic security and the second largest eigenvalue of biregular graphs"):
  with members:
    - "the mac resolvability region semantic security and its operational implications"
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "a channel under simultaneous jamming and eavesdropping attack correlated random coding capacities under strong secrecy criteria"
    - "ramanujan graphs in polynomial time"
    - "arbitrarily varying wiretap channels with type constrained states"
    - "semantic security capacity for wiretap channels of type ii"
    - "universal hashing for information theoretic security"
    - "renyi divergence and kullback leibler divergence"

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)