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: "dissecting ponzi schemes on ethereum identification analysis and impact"
  Abstract: Ponzi schemes are financial frauds where, under the promise of high profits, users put their money, recovering their investment and interests only if enough users after them continue to invest money. Originated in the offline world 150 years ago, Ponzi schemes have since then migrated to the digital world, approaching first on the Web, and more recently hanging over cryptocurrencies like Bitcoin. Smart contract platforms like Ethereum have provided a new opportunity for scammers, who have now the possibility of creating "trustworthy" frauds that still make users lose money, but at least are guaranteed to execute "correctly". We present a comprehensive survey of Ponzi schemes on Ethereum, analysing their behaviour and their impact from various viewpoints. Perhaps surprisingly, we identify a remarkably high number of Ponzi schemes, despite the hosting platform has been operating for less than two years.

Connected through hyperedge HE-1 (induced by source paper "an overview on smart contracts challenges advances and platforms"):
  with members:
    - "the art of the scam demystifying honeypots in ethereum smart contracts"
    - "blockchain for internet of things a survey"
    - "evmfuzz differential fuzz testing of ethereum virtual machine"
    - "tool demonstration fsolidm for designing secure ethereum smart contracts"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "ethir a framework for high level analysis of ethereum bytecode"
    - "sabre protecting bitcoin against routing attacks"
    - "hunting the ethereum smart contract color inspired inspection of potential attacks"

Connected through hyperedge HE-2 (induced by source paper "anchoring the value of cryptocurrency"):
  with members:
    - "decentralization in bitcoin and ethereum networks"
    - "towards scaling blockchain systems via sharding"
    - "blockchain based trust authentication for decentralized sensor networks"
    - "smart contract templates foundations design landscape and research directions"
    - "majority is not enough bitcoin mining is vulnerable"
    - "market oriented cloud computing vision hype and reality for delivering it services as computing utilities"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-3 (induced by source paper "characterizing cryptocurrency exchange scams"):
  with members:
    - "characterizing eosio blockchain"
    - "large scale analysis of pop up scam on typosquatting urls"
    - "a large scale empirical study on industrial fake apps"
    - "beyond google play a large scale comparative study of chinese android app markets"
    - "data mining for detecting bitcoin ponzi schemes"
    - "rebooting research on detecting repackaged android apps literature review and benchmark"
    - "an analysis of attacks on blockchain consensus"

Connected through hyperedge HE-4 (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"
    - "selfish mining in ethereum"
    - "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"

Connected through hyperedge HE-5 (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"
    - "the ico phenomenon and its relationships with ethereum smart contract environment"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "a survey on security and privacy issues of bitcoin"
    - "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-6 (induced by source paper "a true concurrent model of smart contracts executions"):
  with members:
    - "a minimal core calculus for solidity contracts"
    - "verisolid correct by design smart contracts for ethereum"
    - "scilla a smart contract intermediate level language"
    - "detecting token systems on ethereum"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "an efficient framework for optimistic concurrent execution of smart contracts"
    - "securify practical security analysis of smart contracts"

Connected through hyperedge HE-7 (induced by source paper "the art of the scam demystifying honeypots in ethereum smart contracts"):
  with members:
    - "exploiting the laws of order in smart contracts"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "contractfuzzer fuzzing smart contracts for vulnerability detection"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "data mining for detecting bitcoin ponzi schemes"
    - "towards safer smart contracts a sequence learning approach to detecting security threats"
    - "towards safer smart contracts a sequence learning approach to detecting vulnerabilities"
    - "vandal a scalable security analysis framework for smart contracts"

Connected through hyperedge HE-8 (induced by source paper "xblock eth extracting and exploring blockchain data from ethereum"):
  with members:
    - "blockchain for internet of things a survey"
    - "measurement and analysis of the bitcoin networks a view from mining pools"
    - "decentralization in bitcoin and ethereum networks"
    - "contractfuzzer fuzzing smart contracts for vulnerability detection"
    - "an adaptive gas cost mechanism for ethereum to defend against under priced dos attacks"
    - "blocksci design and applications of a blockchain analysis platform"
    - "blockbench a framework for analyzing private blockchains"
    - "online human bot interactions detection estimation and characterization"

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)