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 "pfirewall semantics aware customizable data flow control for home automation systems"):
  Abstract: Emerging Internet of Thing (IoT) platforms provide a convenient solution for integrating heterogeneous IoT devices and deploying home automation applications. However, serious privacy threats arise as device data now flow out to the IoT platforms, which may be subject to various attacks. We observe two privacy-unfriendly practices in emerging home automation systems: first, the majority of data flowed to the platform are superfluous in the sense that they do not trigger any home automation; second, home owners currently have nearly zero control over their data. #R##N#We present PFirewall, a customizable data-flow control system to enhance user privacy. PFirewall analyzes the automation apps to extract their semantics, which are automatically transformed into data-minimization policies; these policies only send minimized data flows to the platform for app execution, such that the ability of attackers to infer user privacy is significantly impaired. In addition, PFirewall provides capabilities and interfaces for users to define and enforce customizable policies based on individual privacy preferences. PFirewall adopts an elegant man-in-the-middle design, transparently executing data minimization and user-defined policies to process raw data flows and mediating the processed data between IoT devices and the platform (via the hub), without requiring modifications of the platform or IoT devices. We implement PFirewall to work with two popular platforms: SmartThings and openHAB, and set up two real-world testbeds to evaluate its performance. The evaluation results show that PFirewall is very effective: it reduces IoT data sent to the platform by 97% and enforces user defined policies successfully.

Includes members:
  Member "cross app interference threats in smart homes categorization detection and handling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "aegis a context aware security framework for smart home systems")
  Member "soteria automated iot safety and security analysis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "real time analysis of privacy un aware iot applications")
  Member "peek a boo i see your smart home activities even encrypted":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iot behavioral monitoring via network traffic analysis")
  Member "sensitive information tracking in commodity iot":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "real time analysis of privacy un aware iot applications")
  Member "a developer friendly library for smart home iot privacy preserving traffic obfuscation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "keeping the smart home private with smart er iot traffic shaping")
  Member "user perceptions of smart home iot privacy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "informing the design of privacy empowering tools for the connected home")
  Member "iotsan fortifying the safety of iot systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "manipulating soft tissues by deep reinforcement learning for autonomous robotic surgery")
  Member "spying on the smart home privacy attacks and defenses on encrypted iot traffic":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "et tu alexa when commodity wifi devices turn into adversarial motion sensors")

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)