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 "pyronia redesigning least privilege and isolation for the age of iot"):
  Abstract: Third-party modules play a critical role in IoT applications, which generate and analyze highly privacy-sensitive data. Unlike traditional desktop and server settings, IoT devices are mostly single-purpose running a dedicated, single application. As a result, vulnerabilities in third-party libraries within a process pose a much bigger threat than on traditional platforms. Yet the only practical data protection mechanisms available today for IoT developers are ad-hoc tools that are not designed to prevent data leaks from malicious or vulnerable third-party code imported into an application. #R##N#We present Pyronia, a privilege separation system for IoT applications written in high-level languages. Pyronia exploits developers' coarse-grained expectations about how imported third-party code operates to restrict access to files and devices, specific network destinations, and even in-memory data objects, at the level of individual library functions. To efficiently protect data as it flows through the application, Pyronia combines three access control techniques: system call interposition, call stack inspection, and memory protection domains. This design obviates the need for prior unintuitive or error-prone data flow analysis or application re-architecting, while enforcing the developer's access policy at run time. Our Pyronia prototype implementation for Python runs on a custom Linux kernel, and incurs low performance overhead on completely unmodified Python applications.

Includes members:
  Member "spectre attacks exploiting speculative execution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards probabilistic verification of machine unlearning")
  Member "longitudinal analysis of android ad library permissions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantifying permission creep in the google play store")
  Member "adsplit separating smartphone advertising from applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an empirical study of usages updates and risks of third party libraries in java projects")
  Member "quire lightweight provenance for smart phone operating systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "secloak arm trustzone based mobile peripheral control")

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.OS(Operating Systems)