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: "chosen plaintext cryptanalysis of a clipped neural network based chaotic cipher"
  Abstract: At ISNN'04, a novel symmetric cipher was proposed, by combining a chaotic signal and a clipped neural network (CNN) for encryption. The present paper analyzes the security of this chaotic cipher against chosen-plaintext attacks, and points out that this cipher can be broken by a chosen-plaintext attack. Experimental analyses are given to support the feasibility of the proposed attack.

Connected through hyperedge HE-1 (induced by source paper "using echo state networks for cryptography"):
  with members:
    - "learning to protect communications with adversarial neural cryptography"

Connected through hyperedge HE-2 (induced by source paper "breaking a chaotic image encryption algorithm based on modulo addition and xor operation"):
  with members:
    - "breaking an image encryption algorithm based on chaos"
    - "breaking a chaotic cryptographic scheme based on composition maps"
    - "on the security defects of an image encryption scheme"
    - "on the security of the yen guo s domino signal encryption algorithm dsea"
    - "on the security of the yi tan siew chaotic cipher"

Connected through hyperedge HE-3 (induced by source paper "breaking a chaotic image encryption algorithm based on perceptron model"):
  with members:
    - "breaking an image encryption algorithm based on chaos"

Connected through hyperedge HE-4 (induced by source paper "cryptanalysis of an image encryption scheme based on the hill cipher"):
  with members:
    - "on the security defects of an image encryption scheme"
    - "on the design of perceptual mpeg video encryption algorithms"
    - "on the security of the yen guo s domino signal encryption algorithm dsea"

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.CR(Cryptography and Security)