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: "discovering smart home internet of things privacy norms using contextual integrity"
  Abstract: The proliferation of Internet of Things (IoT) devices for consumer "smart" homes raises concerns about user privacy. We present a survey method based on the Contextual Integrity (CI) privacy framework that can quickly and efficiently discover privacy norms at scale. We apply the method to discover privacy norms in the smart home context, surveying 1,731 American adults on Amazon Mechanical Turk. For $2,800 and in less than six hours, we measured the acceptability of 3,840 information flows representing a combinatorial space of smart home devices sending consumer information to first and third-party recipients under various conditions. Our results provide actionable recommendations for IoT device manufacturers, including design best practices and instructions for adopting our method for further research.

Connected through hyperedge HE-1 (induced by source paper "informing the design of privacy empowering tools for the connected home"):
  with members:
    - "iot inspector crowdsourcing labeled network traffic from smart home devices at scale"
    - "pingpong packet level signatures for smart home device events"
    - "user perceptions of smart home iot privacy"
    - "iotsense behavioral fingerprinting of iot devices"
    - "iot sentinel demo automated device type identification for security enforcement in iot"

Connected through hyperedge HE-2 (induced by source paper "interactive restriction of a mobile robot s workspace in a smart home environment"):
  with members:
    - "virtual borders accurate definition of a mobile robot s workspace using augmented reality"
    - "this far no further introducing virtual borders to mobile robots using a laser pointer"
    - "the strands project long term autonomy in everyday environments"
    - "a framework for interactive teaching of virtual borders to mobile robots"

Connected through hyperedge HE-3 (induced by source paper "evaluating the contextual integrity of privacy regulation parents iot toy privacy norms versus coppa"):
  with members:
    - "user perceptions of smart home iot privacy"
    - "smart but unsafe experimental evaluation of security and privacy practices in smart toys"
    - "security and privacy analyses of internet of things children s toys"

Connected through hyperedge HE-4 (induced by source paper "programmable in network security for context aware byod policies"):
  with members:
    - "authentication of smartphone users using behavioral biometrics"

Connected through hyperedge HE-5 (induced by source paper "user perceptions of smart home iot privacy"):
  with members:
    - "a smart home is no castle privacy vulnerabilities of encrypted iot traffic"
    - "privacy by design framework for assessing internet of things applications and platforms"
    - "the perfect storm the privacy paradox and the internet of things"
    - "sabbath day home automation it s like mixing technology and religion"

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.CY(Computers and Society)