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: "simulating cyber attacks for fun and profit"
  Abstract: We introduce a new simulation platform called Insight, created to design and simulate cyber-attacks against large arbitrary target scenarios. Insight has surprisingly low hardware and configuration requirements, while making the simulation a realistic experience from the attacker's standpoint. The scenarios include a crowd of simulated actors: network devices, hardware devices, software applications, protocols, users, etc. A novel characteristic of this tool is to simulate vulnerabilities (including 0-days) and exploits, allowing an attacker to compromise machines and use them as pivoting stones to continue the attack. A user can test and modify complex scenarios, with several interconnected networks, where the attacker has no initial connectivity with the objective of the attack. We give a concise description of this new technology, and its possible uses in the security research field, such as pentesting training, study of the impact of 0-days vulnerabilities, evaluation of security countermeasures, and risk assessment tool.

Connected through hyperedge HE-1 (induced by source paper "cyborg an autonomous cyber operations research gym"):
  with members:
    - "autonomous penetration testing using reinforcement learning"
    - "generalization and regularization in dqn"
    - "quantifying generalization in reinforcement learning"
    - "multi fidelity reinforcement learning with gaussian processes"
    - "virtual vs real trading off simulations and physical experiments in reinforcement learning with bayesian optimization"
    - "deep reinforcement learning with double q learning"
    - "the arcade learning environment an evaluation platform for general agents"

Connected through hyperedge HE-2 (induced by source paper "autonomous penetration testing using reinforcement learning"):
  with members:
    - "simulated penetration testing and mitigation analysis"
    - "penetration testing pomdp solving"
    - "pomdps make better hackers accounting for uncertainty in penetration testing"
    - "the arcade learning environment an evaluation platform for general agents"
    - "automated attack planning"
    - "playing atari with deep reinforcement learning"

Connected through hyperedge HE-3 (induced by source paper "automated attack planning"):
  with members:
    - "pomdps make better hackers accounting for uncertainty in penetration testing"
    - "les pomdp font de meilleurs hackers tenir compte de l incertitude dans les tests de penetration"
    - "attack planning in the real world"
    - "heuristic search value iteration for pomdps"
    - "deterministic pomdps revisited"
    - "online planning algorithms for pomdps"
    - "probabilistic planning via heuristic forward search and weighted model counting"
    - "perseus randomized point based value iteration for pomdps"

Connected through hyperedge HE-4 (induced by source paper "attack planning in the real world"):
  with members:
    - "building computer network attacks"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"

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)