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: "dag based attack and defense modeling don t miss the forest for the attack trees"
  Abstract: This paper presents the current state of the art on attack and defense modeling approaches that are based on directed acyclic graphs (DAGs). DAGs allow for a hierarchical decomposition of complex scenarios into simple, easily understandable and quantifiable actions. Methods based on threat trees and Bayesian networks are two well-known approaches to security modeling. However there exist more than 30 DAG-based methodologies, each having different features and goals. The objective of this survey is to present a complete overview of graphical attack and defense modeling techniques based on DAGs. This consists of summarizing the existing methodologies, comparing their features and proposing a taxonomy of the described formalisms. This article also supports the selection of an adequate modeling technique depending on user requirements.

Connected through hyperedge HE-1 (induced by source paper "extending causal models from machines into humans"):
  with members:
    - "understanding and formalizing accountability for cyber physical systems"
    - "a modification of the halpern pearl definition of causality"
    - "causes and explanations a structural model approach part ii explanations"

Connected through hyperedge HE-2 (induced by source paper "parametric analyses of attack fault trees"):
  with members:
    - "what s decidable about parametric timed automata"
    - "time dependent analysis with dynamic counter measure trees"

Connected through hyperedge HE-3 (induced by source paper "risk assessment of autonomous vehicles using bayesian defense graphs"):
  with members:
    - "gnss based positioning attacks and countermeasures"

Connected through hyperedge HE-4 (induced by source paper "hackers vs security attack defence trees as asynchronous multi agent systems"):
  with members:
    - "parametric analyses of attack fault trees"

Connected through hyperedge HE-5 (induced by source paper "attribute evaluation on attack trees with incomplete information"):
  with members:
    - "attack trees with sequential conjunction"
    - "quantitative questions on attack defense trees"

Connected through hyperedge HE-6 (induced by source paper "attack trees in isabelle"):
  with members:
    - "attack trees with sequential conjunction"

Connected through hyperedge HE-7 (induced by source paper "discovering quantifying and displaying attacks"):
  with members:
    - "quantitative questions on attack defense trees"
    - "hide and new in the pi calculus"

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)