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 "effective scaling of blockchain beyond consensus innovations and moore s law"):
  Abstract: As an emerging technology, blockchain has achieved great success in numerous application scenarios, from intelligent healthcare to smart cities. However, a long-standing bottleneck hindering its further development is the massive resource consumption attributed to the distributed storage and computation methods. This makes blockchain suffer from insufficient performance and poor scalability. Here, we analyze the recent blockchain techniques and demonstrate that the potential of widely-adopted consensus-based scaling is seriously limited, especially in the current era when Moore's law-based hardware scaling is about to end. We achieve this by developing an open-source benchmarking tool, called Prism, for investigating the key factors causing low resource efficiency and then discuss various topology and hardware innovations which could help to scale up blockchain. To the best of our knowledge, this is the first in-depth study that explores the next-generation scaling strategies by conducting large-scale and comprehensive benchmarking.

Includes members:
  Member "concurrency and privacy with payment channel networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hushrelay a privacy preserving efficient and scalable routing algorithm for off chain payments")
  Member "scalable byzantine consensus via hardware assisted secret sharing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploring the attack surface of blockchain a systematic overview")
  Member "blockchain goes green an analysis of blockchain on low power nodes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the disruptions of 5g on data driven technologies and applications")
  Member "an energy efficient reconfigurable dtls cryptographic engine for securing internet of things applications":
    also connected through other hyperedges:
      (none)
  Member "morph an adaptive framework for efficient and byzantine fault tolerant sdn control plane":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "bft protocols for heterogeneous resource allocations in distributed sdn control plane")
  Member "towards scaling blockchain systems via sharding":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the feasibility of sybil attacks in shard based permissionless blockchains")
  Member "a scale out blockchain for value transfer with spontaneous sharding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks")
  Member "scaling nakamoto consensus to thousands of transactions per second":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "surface a practical blockchain consensus algorithm for real world networks")

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.CR(Cryptography and Security)