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 "data management in industry 4 0 state of the art and open challenges"):
  Abstract: Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

Includes members:
  Member "avoiding the internet of insecure industrial things":
    also connected through other hyperedges:
      (none)
  Member "energy optimization of robotic cells":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "data management in networked industrial environments state of the art and open challenges")
  Member "sre semantic rules engine for the industrial internet of things gateways":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "data management in networked industrial environments state of the art and open challenges")
  Member "covert attacks in cyber physical control systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "compensation of linear attacks to cyber physical systems through arx system identification")
  Member "acceleration of a full scale industrial cfd application with op2":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "automated tiling of unstructured mesh computations with application to seismological modelling")
  Member "intercept behavior analysis of industrial wireless sensor networks in the presence of eavesdropping attack":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "secrecy outage for wireless sensor networks")
  Member "a cyber physical system based approach for industrial automation systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "future developments in standardisation of cyber risk in the internet of things iot")

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.NI(Networking and Internet Architecture)