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 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.

Connected through hyperedge HE-1 (induced by source paper "fog computing systems state of the art research issues and future trends"):
  with members:
    - "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges"
    - "game theory for multi access edge computing survey use cases and future trends"
    - "a blockchain enabled trustless crowd intelligence ecosystem on mobile edge computing"
    - "machine learning for resource management in cellular and iot networks potentials current solutions and open challenges"
    - "all one needs to know about fog computing and related edge computing paradigms a complete survey"
    - "mitigating jamming attacks using energy harvesting"
    - "game theoretical modelling of network cybersecurity"
    - "fundamental concepts of cyber resilience introduction and overview"

Connected through hyperedge HE-2 (induced by source paper "understanding artificial intelligence ethics and safety"):
  with members:
    - "a grounded interaction protocol for explainable artificial intelligence"
    - "automated rationale generation a technique for explainable ai and its effects on human perceptions"
    - "model cards for model reporting"
    - "a framework for understanding unintended consequences of machine learning"
    - "spectrum data poisoning with adversarial deep learning"
    - "explaining explanations in ai"
    - "problem formulation and fairness"
    - "from what to how an initial review of publicly available ai ethics tools methods and research to translate principles into practices"

Connected through hyperedge HE-3 (induced by source paper "cyber physical systems resilience state of the art research issues and future trends"):
  with members:
    - "a blockchain enabled trustless crowd intelligence ecosystem on mobile edge computing"
    - "mitigating jamming attacks using energy harvesting"
    - "fundamental concepts of cyber resilience introduction and overview"
    - "tarco two stage auction for d2d relay aided computation resource allocation in hetnet"
    - "an introduction to deep learning for the physical layer"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "sustainable incentives for mobile crowdsensing"
    - "towards a cognitive routing engine for software defined networks"

Connected through hyperedge HE-4 (induced by source paper "metaanalysis of methods for scaling blockchain technology for automotive uses"):
  with members:
    - "polyshard coded sharding achieves linearly scaling efficiency and security simultaneously"
    - "spectre attacks exploiting speculative execution"
    - "a survey on the security of blockchain systems"
    - "on the feasibility of integrating mmwave and ieee 802 11p for v2v communications"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "pushing the limits of lte a survey on research enhancing the standard"

Connected through hyperedge HE-5 (induced by source paper "trisec training data unaware imperceptible security attacks on deep neural networks"):
  with members:
    - "one pixel attack for fooling deep neural networks"
    - "red attack resource efficient decision based attack for machine learning"
    - "security for machine learning based systems attacks and challenges during training and inference"
    - "manipulating machine learning poisoning attacks and countermeasures for regression learning"
    - "fademl understanding the impact of pre processing noise filtering on adversarial machine learning"
    - "poison frogs targeted clean label poisoning attacks on neural networks"
    - "potrojan powerful neural level trojan designs in deep learning models"
    - "sok security and privacy in machine learning"

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.ET(Emerging Technologies)