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: "analysis of hashrate based double spending"
  Abstract: Bitcoin is the world's first decentralized digital currency. Its main technical innovation is the use of a blockchain and hash-based proof of work to synchronize transactions and prevent double-spending the currency. While the qualitative nature of this system is well understood, there is widespread confusion about its quantitative aspects and how they relate to attack vectors and their countermeasures. In this paper we take a look at the stochastic processes underlying typical attacks and their resulting probabilities of success.

Connected through hyperedge HE-1 (induced by source paper "joint time scheduling and transaction fee selection in blockchain based rf powered backscatter cognitive radio network"):
  with members:
    - "deep reinforcement learning for time scheduling in rf powered backscatter cognitive radio networks"
    - "reinforcement learning approach for rf powered cognitive radio network with ambient backscatter"
    - "riding on the primary a new spectrum sharing paradigm for wireless powered iot devices"
    - "wireless powered asynchronous backscatter networks with sporadic short packets performance analysis and optimization"
    - "deep reinforcement learning for dynamic multichannel access in wireless networks"
    - "stackelberg game for distributed time scheduling in rf powered backscatter cognitive radio networks"
    - "blockchained on device federated learning"
    - "joint transaction transmission and channel selection in cognitive radio based blockchain networks a deep reinforcement learning approach"

Connected through hyperedge HE-2 (induced by source paper "double spend counterattacks threat of retaliation in proof of work systems"):
  with members:
    - "oceanic games centralization risks and incentives in blockchain mining"
    - "mind the mining"
    - "bitcoin a natural oligopoly"
    - "optimal selfish mining strategies in bitcoin"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-3 (induced by source paper "scaling blockchains to support electronic health records for hospital systems"):
  with members:
    - "bpds a blockchain based privacy preserving data sharing for electronic medical records"
    - "smart contract based access control for the internet of things"

Connected through hyperedge HE-4 (induced by source paper "rtm blockchain that support revocable transaction model"):
  with members:
    - "optimal selfish mining strategies in bitcoin"

Connected through hyperedge HE-5 (induced by source paper "exploring the attack surface of blockchain a systematic overview"):
  with members:
    - "scalable byzantine consensus via hardware assisted secret sharing"
    - "security services using blockchains a state of the art survey"
    - "a survey on the security of blockchain systems"
    - "an empirical analysis of anonymity in zcash"
    - "towards blockchain driven secure and transparent audit logs"
    - "end to end analysis of in browser cryptojacking"
    - "linbft linear communication byzantine fault tolerance for public blockchains"
    - "a survey on security and privacy issues of bitcoin"

Connected through hyperedge HE-6 (induced by source paper "a survey on applications of game theory in blockchain"):
  with members:
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "security services using blockchains a state of the art survey"
    - "blockchain governance game"
    - "exchange of renewable energy among prosumers using blockchain with dynamic pricing"
    - "game of coins"
    - "delayed blockchain protocols"
    - "reward sharing schemes for stake pools"
    - "a survey on the security of blockchain systems"

Connected through hyperedge HE-7 (induced by source paper "deconstructing blockchains a comprehensive survey on consensus membership and structure"):
  with members:
    - "dfinity technology overview series consensus system"
    - "analysis of the xrp ledger consensus protocol"
    - "hotstuff bft consensus in the lens of blockchain"
    - "evaluating the red belly blockchain"
    - "an empirical analysis of anonymity in zcash"
    - "a survey on security and privacy issues of bitcoin"
    - "blockchains consensus protocols in the wild"
    - "cachezoom how sgx amplifies the power of cache attacks"

Connected through hyperedge HE-8 (induced by source paper "heb hybrid expenditure blockchain"):
  with members:
    - "mind the mining"
    - "squirrl automating attack discovery on blockchain incentive mechanisms with deep reinforcement learning"
    - "an axiomatic approach to block rewards"
    - "sbft a scalable and decentralized trust infrastructure"
    - "sbft a scalable decentralized trust infrastructure for blockchains"
    - "a survey on security and privacy issues of bitcoin"
    - "the gap game"
    - "bitcoin a natural oligopoly"

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.CR(Cryptography and Security)