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 "blockchain methods for trusted avionics systems"):
  Abstract: Blockchain is a popular method to ensure security for trusted systems. The benefits include an auditable method to provide decentralized security without a trusted third party, but the drawback is the large computational resources needed to process and store the ever-expanding chain of security blocks. The promise of blockchain for edge devices (e.g., internet of things) poses a variety of challenges and strategies before adoption. In this paper, we explore blockchain methods and examples, with experimental data to determine the merits of the capabilities. As for an aerospace example, we address a notional example for Automatic dependent surveillance-broadcast (ADS-B) from Flight24 data (this https URL) to determine whether blockchain is feasible for avionics systems. The methods are incorporated into the Lightweight Internet of Things (IoT) based Smart Public Safety (LISPS) framework. By decoupling a complex system into independent sub-tasks, the LISPS system possesses high flexibility in the design process and online maintenance. The Blockchain-enabled decentralized avionics services provide a secured data sharing and access control mechanism. The experimental results demonstrate the feasibility of the approach.

Includes members:
  Member "decentralized smart surveillance through microservices platform":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "i vise interactive video surveillance as an edge service using unsupervised feature queries")
  Member "a microservice enabled architecture for smart surveillance using blockchain technology":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "i vise interactive video surveillance as an edge service using unsupervised feature queries")
  Member "kerman a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "i vise interactive video surveillance as an edge service using unsupervised feature queries")
  Member "smart surveillance as an edge network service from harr cascade svm to a lightweight cnn":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "machine learning at the network edge a survey")
  Member "constructing trustworthy and safe communities on a blockchain enabled social credits system":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "decentralized smart surveillance through microservices platform")
  Member "real time index authentication for event oriented surveillance video query using blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "i vise interactive video surveillance as an edge service using unsupervised feature queries")
  Member "real time human detection as an edge service enabled by a lightweight cnn":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "i safe instant suspicious activity identification at the edge using fuzzy decision making")
  Member "eiqis toward an event oriented indexable and queryable intelligent surveillance system":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "decentralized smart surveillance through microservices platform")

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.DC(Distributed, Parallel, and Cluster Computing)