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 "a roadmap toward the resilient internet of things for cyber physical systems"):
  Abstract: The Internet of Things (IoT) is a ubiquitous system connecting many different devices—the  things  —which can be accessed from the distance. The cyber-physical systems (CPSs) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system’s vulnerability, and challenges its ability to react to faults. This paper summarizes the state of the art of existing work on anomaly detection, fault-tolerance, and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for the CPS, which is crucial in the era of  smart CPS  with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable “Trustworthy IoT for CPS”. Finally, this framework is illustrated on a selected use case: a smart sensor infrastructure in the transport domain.

Includes members:
  Member "model based verification and validation of an autonomous vehicle system":
    also connected through other hyperedges:
      (none)
  Member "deepmarks a digital fingerprinting framework for deep neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep neural network fingerprinting by conferrable adversarial examples")
  Member "mlcapsule guarded offline deployment of machine learning as a service":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "survey of attacks and defenses on edge deployed neural networks")
  Member "reachability analysis and safety verification for neural network control systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "validation of image based neural network controllers through adaptive stress testing")
  Member "introduction of a hybrid monitor to cyber physical systems":
    also connected through other hyperedges:
      (none)
  Member "verification for machine learning autonomy and neural networks survey":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "assuring the machine learning lifecycle desiderata methods and challenges")
  Member "re purposing compact neuronal circuit policies to govern reinforcement learning tasks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "liquid time constant recurrent neural networks as universal approximators")
  Member "efficient deep learning on multi source private data":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the convergence of artificial intelligence and distributed ledger technology a scoping review and future research agenda")

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.ET(Emerging Technologies)