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: "a study of data store based home automation"
  Abstract: Home automation platforms provide a new level of convenience by enabling consumers to automate various aspects of physical objects in their homes. While the convenience is beneficial, security flaws in the platforms or integrated third-party products can have serious consequences for the integrity of a user's physical environment. In this paper we perform a systematic security evaluation of two popular smart home platforms, Google's Nest platform and Philips Hue, that implement home automation "routines" (i.e., trigger-action programs involving apps and devices) via manipulation of state variables in a centralized data store. Our semi-automated analysis examines, among other things, platform access control enforcement, the rigor of non-system enforcement procedures, and the potential for misuse of routines. This analysis results in ten key findings with serious security implications. For instance, we demonstrate the potential for the misuse of smart home routines in the Nest platform to perform a lateral privilege escalation, illustrate how Nest's product review system is ineffective at preventing multiple stages of this attack that it examines, and demonstrate how emerging platforms may fail to provide even bare-minimum security by allowing apps to arbitrarily add/remove other apps from the user's smart home. Our findings draw attention to the unique security challenges of platforms that execute routines via centralized data stores and highlight the importance of enforcing security by design in emerging home automation platforms.

Connected through hyperedge HE-1 (induced by source paper "security vetting process of smart home assistant applications a first look and case studies"):
  with members:
    - "evaluating the contextual integrity of privacy regulation parents iot toy privacy norms versus coppa"
    - "practical hidden voice attacks against speech and speaker recognition systems"
    - "commandersong a systematic approach for practical adversarial voice recognition"
    - "nonsense attacks on google assistant"
    - "continuous authentication for voice assistants"
    - "dolphinattack inaudible voice commands"

Connected through hyperedge HE-2 (induced by source paper "helion enabling a natural perspective of home automation"):
  with members:
    - "soteria automated iot safety and security analysis"
    - "sensitive information tracking in commodity iot"
    - "mining android app usages for generating actionable gui based execution scenarios"
    - "iotsan fortifying the safety of iot systems"

Connected through hyperedge HE-3 (induced by source paper "discovering and understanding the security hazards in the interactions between iot devices mobile apps and clouds on smart home platforms"):
  with members:
    - "soteria automated iot safety and security analysis"
    - "sensitive information tracking in commodity iot"
    - "dolphinattack inaudible voice commands"
    - "breaking fitness records without moving reverse engineering and spoofing fitbit"
    - "spying on the smart home privacy attacks and defenses on encrypted iot traffic"

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)