human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "oblivious dns practical privacy for dns queries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "encrypted dns privacy a traffic analysis perspective")
  Member "a developer friendly library for smart home iot privacy preserving traffic obfuscation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "pfirewall semantics aware customizable data flow control for home automation systems")
  Member "a smart home is no castle privacy vulnerabilities of encrypted iot traffic":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iot behavioral monitoring via network traffic analysis")
  Member "spying on the smart home privacy attacks and defenses on encrypted iot traffic":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "et tu alexa when commodity wifi devices turn into adversarial motion sensors")
  Member "closing the blinds four strategies for protecting smart home privacy from network observers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "pfirewall semantics aware customizable data flow control for home automation systems")
  Member "iot sentinel demo automated device type identification for security enforcement in iot":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "iot behavioral monitoring via network traffic analysis")
  Member "toward an efficient website fingerprinting defense":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "blind adversarial network perturbations")
  Member "no nat d user left behind fingerprinting users behind nat from netflow records alone":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "your smart home can t keep a secret towards automated fingerprinting of iot traffic with neural networks")

Question: Please tell me which class the source paper 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)