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 "characterizing cryptocurrency exchange scams"):
  Abstract: As the indispensable trading platforms of the ecosystem, hundreds of cryptocurrency exchanges are emerging to facilitate the trading of digital assets. While, it also attracts the attentions of attackers. A number of scam attacks were reported targeting cryptocurrency exchanges, leading to a huge mount of financial loss. However, no previous work in our research community has systematically studied this problem. In this paper, we make the first effort to identify and characterize the cryptocurrency exchange scams. We first identify over 1,500 scam domains and over 300 fake apps, by collecting existing reports and using typosquatting generation techniques. Then we investigate the relationship between them, and identify 94 scam domain families and 30 fake app families. We further characterize the impacts of such scams, and reveal that these scams have incurred financial loss of 520k US dollars at least. We further observe that the fake apps have been sneaked to major app markets (including Google Play) to infect unsuspicious users. Our findings demonstrate the urgency to identify and prevent cryptocurrency exchange scams. To facilitate future research, we have publicly released all the identified scam domains and fake apps to the community.

Includes members:
  Member "characterizing eosio blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "security analysis of eosio smart contracts")
  Member "large scale analysis of pop up scam on typosquatting urls":
    also connected through other hyperedges:
      (none)
  Member "a large scale empirical study on industrial fake apps":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an empirical assessment of security risks of global android banking apps")
  Member "beyond google play a large scale comparative study of chinese android app markets":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "maddroid characterising and detecting devious ad content for android apps")
  Member "data mining for detecting bitcoin ponzi schemes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an overview on smart contracts challenges advances and platforms")
  Member "rebooting research on detecting repackaged android apps literature review and benchmark":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "don t pick the cherry an evaluation methodology for android malware detection methods")
  Member "dissecting ponzi schemes on ethereum identification analysis and impact":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an overview on smart contracts challenges advances and platforms")
  Member "an analysis of attacks on blockchain consensus":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "exploring the attack surface of blockchain a systematic overview")

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)