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: "generalization of the ball collision algorithm"
  Abstract: In this paper we generalize the Ball-Collision Algorithm by Bernstein, Lange, Peters from the binary field to a general finite field. We also provide a complexity analysis and compare the asymptotic complexity to other generalized information set decoding algorithms.

Connected through hyperedge HE-1 (induced by source paper "information set decoding of lee metric codes over finite rings"):
  with members:
    - "information set decoding in the lee metric with applications to cryptography"
    - "on the complexity of the rank syndrome decoding problem"

Connected through hyperedge HE-2 (induced by source paper "np complete problems for lee metric codes"):
  with members:
    - "information set decoding in the lee metric with applications to cryptography"

Connected through hyperedge HE-3 (induced by source paper "encryption scheme based on expanded reed solomon codes"):
  with members:
    - "ledakem a post quantum key encapsulation mechanism based on qc ldpc codes"
    - "variations of the mceliece cryptosystem"
    - "cryptanalysis of mceliece cryptosystem based on algebraic geometry codes and their subcodes"
    - "polynomial time attack on wild mceliece over quadratic extensions"
    - "distinguisher based attacks on public key cryptosystems using reed solomon codes"
    - "an efficient attack of a mceliece cryptosystem variant based on convolutional codes"
    - "a distinguisher based attack on a variant of mceliece s cryptosystem based on reed solomon codes"
    - "cryptanalysis of two mceliece cryptosystems based on quasi cyclic codes"

Connected through hyperedge HE-4 (induced by source paper "on decoding and applications of interleaved goppa codes"):
  with members:
    - "a public key cryptosystem from interleaved goppa codes"
    - "decoding of interleaved reed solomon codes using improved power decoding"
    - "polynomial time attack on wild mceliece over quadratic extensions"
    - "generalised multi sequence shift register synthesis using module minimisation"
    - "on rational interpolation based list decoding and list decoding binary goppa codes"
    - "list decoding of binary goppa codes up to the binary johnson bound"
    - "collaborative decoding of interleaved reed solomon codes and concatenated code designs"

Connected through hyperedge HE-5 (induced by source paper "ternary syndrome decoding with large weight"):
  with members:
    - "wave a new code based signature scheme"
    - "the problem with the surf scheme"

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)