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: "scanning the internet for ros a view of security in robotics research"
  Abstract: Because robots can directly perceive and affect the physical world, security issues take on particular importance. In this paper, we describe the results of our work on scanning the entire IPv4 address space of the Internet for instances of the Robot Operating System (ROS), a widely used robotics platform for research. Our results identified that a number of hosts supporting ROS are exposed to the public Internet, thereby allowing anyone to access robotic sensors and actuators. As a proof of concept, and with consent, we were able to read image sensor information and move the robot of a research group in a US university. This paper gives an overview of our findings, including the geographic distribution of publicly-accessible platforms, the sorts of sensor and actuator data that is available, as well as the different kinds of robots and sensors that our scan uncovered. Additionally, we offer recommendations on best practices to mitigate these security issues in the future.

Connected through hyperedge HE-1 (induced by source paper "a fog robotics approach to deep robot learning application to object recognition and grasp planning in surface decluttering"):
  with members:
    - "network offloading policies for cloud robotics a learning based approach"
    - "fog robotics for efficient fluent and robust human robot interaction"
    - "closing the sim to real loop adapting simulation randomization with real world experience"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a fog robotic system for dynamic visual servoing"
    - "robot learning in homes improving generalization and reducing dataset bias"
    - "focal loss for dense object detection"
    - "adversarial discriminative domain adaptation"

Connected through hyperedge HE-2 (induced by source paper "security landscape for robotics"):
  with members:
    - "to make a robot secure an experimental analysis of cyber security threats against teleoperated surgical robots"

Connected through hyperedge HE-3 (induced by source paper "optsample a resilient buffer management policy for robotic systems based on optimal message sampling"):
  with members:
    - "collaborative large scale dense 3d reconstruction with online inter agent pose optimisation"

Connected through hyperedge HE-4 (induced by source paper "robotics ctf rctf a playground for robot hacking"):
  with members:
    - "adding salt to pepper a structured security assessment over a humanoid robot"
    - "towards an open standard for assessing the severity of robot security vulnerabilities the robot vulnerability scoring system rvss"
    - "robot hazards from safety to security"
    - "introducing the robot security framework rsf a standardized methodology to perform security assessments in robotics"
    - "sros securing ros over the wire in the graph and through the kernel"

Connected through hyperedge HE-5 (induced by source paper "aztarna a footprinting tool for robots"):
  with members:
    - "towards an open standard for assessing the severity of robot security vulnerabilities the robot vulnerability scoring system rvss"
    - "robot hazards from safety to security"
    - "robotics ctf rctf a playground for robot hacking"
    - "introducing the robot security framework rsf a standardized methodology to perform security assessments in robotics"

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)