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: "dynamic analysis of chaotic maps as complex networks in the digital domain"
  Abstract: Chaotic dynamics is widely used to design random number generators. This paper aims to study the dynamics of chaotic maps in a digital finite-precision domain. Differing from the traditional approaches treating a digital chaotic map as a black box with different explanations according to the test results of the output, the dynamical properties of such chaotic maps are explored in an fixed-point arithmetic domain, using the Logistic map and the Tent map as representative examples, from a new perspective with a corresponding state-mapping network (SMN). In SMN, every possible value is considered as a node and the mapping relationship between any pair of nodes works just like a directed edge. The scale-free properties of SMN are proved. The analytic results can be further extended to the scenario of floating-point arithmetic and for other chaotic maps. Understanding the network structure of SMN of a chaotic map in the digital computers can facilitate counteracting the undesirable dynamics degenerations of digital chaotic maps in finite-precision domains, helping also classify and improve the randomness of pseudo-random number sequences generated by iterating chaotic maps.

Connected through hyperedge HE-1 (induced by source paper "cryptanalysis of a chaotic image encryption algorithm based on information entropy"):
  with members:
    - "cryptanalyzing an image scrambling encryption algorithm of pixel bits"
    - "on the cryptanalysis of fridrich s chaotic image encryption scheme"
    - "cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography"
    - "cracking a hierarchical chaotic image encryption algorithm based on permutation"
    - "cryptanalyzing image encryption using chaotic logistic map"
    - "network analysis of the state space of chaotic map in digital domain"
    - "entropy and set cardinality inequalities for partition determined functions"

Connected through hyperedge HE-2 (induced by source paper "cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography"):
  with members:
    - "cryptanalyzing an image scrambling encryption algorithm of pixel bits"
    - "on the cryptanalysis of fridrich s chaotic image encryption scheme"
    - "network analysis of the state space of chaotic map in digital domain"

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)