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: "selfish mining in ethereum"
  Abstract: As the second largest cryptocurrency by market capitalization and today's biggest decentralized platform that runs smart contracts, Ethereum has received much attention from both industry and academia. Nevertheless, there exist very few studies about the security of its mining strategies, especially from the selfish mining perspective. In this paper, we aim to fill this research gap by analyzing selfish mining in Ethereum and understanding its potential threat. First, we introduce a 2-dimensional Markov process to model the behavior of a selfish mining strategy inspired by a Bitcoin mining strategy proposed by Eyal and Sirer. Second, we derive the stationary distribution of our Markov model and compute long-term average mining rewards. This allows us to determine the threshold of computational power that makes selfish mining profitable in Ethereum. We find that this threshold is lower than that in Bitcoin mining (which is 25% as discovered by Eyal and Sirer), suggesting that Ethereum is more vulnerable to selfish mining than Bitcoin.

Connected through hyperedge HE-1 (induced by source paper "a survey on ethereum systems security vulnerabilities attacks and defenses"):
  with members:
    - "security and privacy on blockchain"
    - "exploring the attack surface of blockchain a systematic overview"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "metrics towards measuring cyber agility"
    - "a survey of distributed consensus protocols for blockchain networks"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "ethir a framework for high level analysis of ethereum bytecode"
    - "online detection of effectively callback free objects with applications to smart contracts"

Connected through hyperedge HE-2 (induced by source paper "sok tools for game theoretic models of security for cryptocurrencies"):
  with members:
    - "oceanic games centralization risks and incentives in blockchain mining"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "impossibility of full decentralization in permissionless blockchains"
    - "squirrl automating attack discovery on blockchain incentive mechanisms with deep reinforcement learning"
    - "an axiomatic approach to block rewards"
    - "reward sharing schemes for stake pools"
    - "compounding of wealth in proof of stake cryptocurrencies"
    - "blockmania from block dags to consensus"

Connected through hyperedge HE-3 (induced by source paper "squirrl automating attack discovery on blockchain incentive mechanisms with deep reinforcement learning"):
  with members:
    - "competing semi selfish miners in bitcoin"
    - "sok transparent dishonesty front running attacks on blockchain"
    - "mind the mining"
    - "flash boys 2 0 frontrunning transaction reordering and consensus instability in decentralized exchanges"
    - "selfish mining in ethereum"
    - "a deep dive into blockchain selfish mining"
    - "an introduction to deep reinforcement learning"
    - "scaling nakamoto consensus to thousands of transactions per second"

Connected through hyperedge HE-4 (induced by source paper "bdos blockchain denial of service"):
  with members:
    - "competing semi selfish miners in bitcoin"
    - "bitcoin vs bitcoin cash coexistence or downfall of bitcoin cash"
    - "sok transparent dishonesty front running attacks on blockchain"
    - "just enough security reducing proof of work ecological footprint"
    - "mind the mining"
    - "cryptocurrency egalitarianism a quantitative approach"
    - "flash boys 2 0 frontrunning transaction reordering and consensus instability in decentralized exchanges"
    - "a deep dive into blockchain selfish mining"

Connected through hyperedge HE-5 (induced by source paper "a secure consensus protocol for sidechains"):
  with members:
    - "flash efficient dynamic routing for offchain networks"
    - "proteus a scalable bft consesus protocol for blockchains"
    - "sbft a scalable and decentralized trust infrastructure"
    - "hotstuff bft consensus in the lens of blockchain"
    - "routing cryptocurrency with the spider network"
    - "a scale out blockchain for value transfer with spontaneous sharding"
    - "window based bft blockchain consensus"
    - "sprites and state channels payment networks that go faster than lightning"

Connected through hyperedge HE-6 (induced by source paper "the merits of using ethereum mainnet as a coordination blockchain for ethereum private sidechains"):
  with members:
    - "atomic crosschain transactions for ethereum private sidechains"
    - "anonymous state pinning for private blockchains"
    - "decentralization in bitcoin and ethereum networks"
    - "assessing security and performances of consensus algorithms for permissioned blockchains"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "requirements for ethereum private sidechains"
    - "on the longest chain rule and programmed self destruction of crypto currencies"

Connected through hyperedge HE-7 (induced by source paper "selfish mining in ethereum"):
  with members:
    - "bitcoin selfish mining and dyck words"
    - "selfish mining and dyck words in bitcoin and ethereum networks"
    - "on profitability of selfish mining"
    - "on profitability of trailing mining"
    - "the impact of uncle rewards on selfish mining in ethereum"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-8 (induced by source paper "selfish mining and dyck words in bitcoin and ethereum networks"):
  with members:
    - "on profitability of selfish mining"
    - "on profitability of stubborn mining"
    - "on profitability of trailing mining"

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)