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: "keeping the smart home private with smart er iot traffic shaping"
  Abstract: The proliferation of smart home Internet of Things (IoT) devices presents unprecedented challenges for preserving privacy within the home. In this paper, we demonstrate that a passive network observer (e.g., an Internet service provider) can infer private in-home activities by analyzing Internet traffic from commercially available smart home devices even when the devices use end-to-end transport-layer encryption. We evaluate common approaches for defending against these types of traffic analysis attacks, including firewalls, virtual private networks, and independent link padding, and find that none sufficiently conceal user activities with reasonable data overhead. We develop a new defense, "stochastic traffic padding" (STP), that makes it difficult for a passive network adversary to reliably distinguish genuine user activities from generated traffic patterns designed to look like user interactions. Our analysis provides a theoretical bound on an adversary's ability to accurately detect genuine user activities as a function of the amount of additional cover traffic generated by the defense technique.

Connected through hyperedge HE-1 (induced by source paper "characterizing smart home iot traffic in the wild"):
  with members:
    - "iot inspector crowdsourcing labeled network traffic from smart home devices at scale"
    - "vpn0 a privacy preserving decentralized virtual private network"
    - "an analysis of home iot network traffic and behaviour"
    - "cleartext data transmissions in consumer iot medical devices"

Connected through hyperedge HE-2 (induced by source paper "iot expunge implementing verifiable retention of iot data"):
  with members:
    - "towards blockchain based auditable storage and sharing of iot data"
    - "fundamental limits of caching"

Connected through hyperedge HE-3 (induced by source paper "iot inspector crowdsourcing labeled network traffic from smart home devices at scale"):
  with members:
    - "improving heart rate variability measurements from consumer smartwatches with machine learning"
    - "kitsune an ensemble of autoencoders for online network intrusion detection"
    - "playing with danger a taxonomy and evaluation of threats to smart toys"
    - "security and privacy analyses of internet of things children s toys"
    - "cleartext data transmissions in consumer iot medical devices"
    - "iot sentinel demo automated device type identification for security enforcement in iot"

Connected through hyperedge HE-4 (induced by source paper "pingpong packet level signatures for smart home device events"):
  with members:
    - "machine learning ddos detection for consumer internet of things devices"
    - "peek a boo i see your smart home activities even encrypted"
    - "a smart home is no castle privacy vulnerabilities of encrypted iot traffic"
    - "spying on the smart home privacy attacks and defenses on encrypted iot traffic"
    - "closing the blinds four strategies for protecting smart home privacy from network observers"
    - "k fingerprinting a robust scalable website fingerprinting technique"

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)