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: "the ico phenomenon and its relationships with ethereum smart contract environment"
  Abstract: Initial Coin Offerings (ICO) are public offers of new cryptocurrencies in exchange of existing ones, aimed to finance projects in the blockchain development arena. In the last 8 months of 2017, the total amount gathered by ICOs exceeded 4 billion US$, and overcame the venture capital funnelled toward high tech initiatives in the same period. A high percentage of ICOS is managed through Smart Contracts running on Ethereum blockchain, and in particular to ERC-20 Token Standard Contract. In this work we examine 1388 ICOs, published on December 31, 2017 on icobench.com Web site, gathering information relevant to the assessment of their quality and software development management, including data on their development teams. We also study, at the same date, the financial data of 450 ICO tokens available on coinmarketcap.com Web site, among which 355 tokens are managed on Ethereum blochain. We define success criteria for the ICOs, based on the funds actually gathered, and on the behavior of the price of the related tokens, finding the factors that most likely influence the ICO success likeliness.

Connected through hyperedge HE-1 (induced by source paper "gasfuzz generating high gas consumption inputs to avoid out of gas vulnerability"):
  with members:
    - "evmfuzz differential fuzz testing of ethereum virtual machine"
    - "gastap a gas analyzer for smart contracts"
    - "contractfuzzer fuzzing smart contracts for vulnerability detection"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "enfuzz from ensemble learning to ensemble fuzzing"
    - "vandal a scalable security analysis framework for smart contracts"
    - "securify practical security analysis of smart contracts"
    - "an adaptive gas cost mechanism for ethereum to defend against under priced dos attacks"

Connected through hyperedge HE-2 (induced by source paper "who are the phishers phishing scam detection on ethereum via network embedding"):
  with members:
    - "the art of the scam demystifying honeypots in ethereum smart contracts"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "a survey on security and privacy issues of bitcoin"
    - "dissecting ponzi schemes on ethereum identification analysis and impact"
    - "entity embedding based anomaly detection for heterogeneous categorical events"
    - "node2vec scalable feature learning for networks"
    - "deepwalk online learning of social representations"
    - "graph based anomaly detection and description a survey"

Connected through hyperedge HE-3 (induced by source paper "impact of consensus on appendable block blockchain for iot"):
  with members:
    - "a survey on security and privacy issues of bitcoin"
    - "privacy preserving and efficient aggregation based on blockchain for power grid communications in smart communities"
    - "mof bc a memory optimized and flexible blockchain for large scale networks"
    - "blockchain a distributed solution to automotive security and privacy"
    - "be selfish and avoid dilemmas fork after withholding faw attacks on bitcoin"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-4 (induced by source paper "likestarter a smart contract based social dao for crowdfunding"):
  with members:
    - "a blockchain based flight data recorder for cloud accountability"
    - "decentralized applications the blockchain empowered software system"
    - "highly intensive data dissemination in complex networks"

Connected through hyperedge HE-5 (induced by source paper "abcde agile block chain dapp engineering"):
  with members:
    - "security analysis methods on ethereum smart contract vulnerabilities a survey"
    - "an agile software engineering method to design blockchain applications"
    - "blockchain oriented software engineering challenges and new directions"

Connected through hyperedge HE-6 (induced by source paper "flash boys 2 0 frontrunning transaction reordering and consensus instability in decentralized exchanges"):
  with members:
    - "sok transparent dishonesty front running attacks on blockchain"
    - "casper the friendly finality gadget"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-7 (induced by source paper "resolving the multiple withdrawal attack on erc20 tokens"):
  with members:
    - "sok transparent dishonesty front running attacks on blockchain"
    - "detecting token systems on ethereum"

Connected through hyperedge HE-8 (induced by source paper "characterizing code clones in the ethereum smart contract ecosystem"):
  with members:
    - "securify practical security analysis of smart contracts"
    - "under optimized smart contracts devour your money"

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.CY(Computers and Society)