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: "ontological approach toward cybersecurity in cloud computing"
  Abstract: Widespread deployment of the Internet enabled building of an emerging IT delivery model, i.e., cloud computing. Albeit cloud computing-based services have rapidly developed, their security aspects are still at the initial stage of development. In order to preserve cybersecurity in cloud computing, cybersecurity information that will be exchanged within it needs to be identified and discussed. For this purpose, we propose an ontological approach to cybersecurity in cloud computing. We build an ontology for cybersecurity operational information based on actual cybersecurity operations mainly focused on non-cloud computing. In order to discuss necessary cybersecurity information in cloud computing, we apply the ontology to cloud computing. Through the discussion, we identify essential changes in cloud computing such as data-asset decoupling and clarify the cybersecurity information required by the changes such as data provenance and resource dependency information.

Connected through hyperedge HE-1 (induced by source paper "cyber all intel an ai for security related threat intelligence"):
  with members:
    - "holographic embeddings of knowledge graphs"
    - "traversing knowledge graphs in vector space"
    - "compositional vector space models for knowledge base completion"
    - "sequence to sequence learning with neural networks"
    - "efficient estimation of word representations in vector space"
    - "natural language processing almost from scratch"

Connected through hyperedge HE-2 (induced by source paper "preventing poisoning attacks on ai based threat intelligence systems"):
  with members:
    - "summoning demons the pursuit of exploitable bugs in machine learning"
    - "thinking fast and slow combining vector spaces and knowledge graphs"
    - "tweetcred real time credibility assessment of content on twitter"

Connected through hyperedge HE-3 (induced by source paper "mining threat intelligence about open source projects and libraries from code repository issues and bug reports"):
  with members:
    - "thinking fast and slow combining vector spaces and knowledge graphs"

Connected through hyperedge HE-4 (induced by source paper "thinking fast and slow combining vector spaces and knowledge graphs"):
  with members:
    - "holographic embeddings of knowledge graphs"
    - "traversing knowledge graphs in vector space"
    - "compositional vector space models for knowledge base completion"
    - "sequence to sequence learning with neural networks"
    - "efficient estimation of word representations in vector space"
    - "natural language processing almost from scratch"
    - "from frequency to meaning vector space models of semantics"

Connected through hyperedge HE-5 (induced by source paper "the security assessment domain a survey of taxonomies and ontologies"):
  with members:
    - "a survey of security assessment ontologies"

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)