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 entities in the bitcoin blockchain"):
  Abstract: Bitcoin has created a new exchange paradigm within which financial transactions can be trusted without an intermediary. This premise of a free decentralized transactional network however requires, in its current implementation, unrestricted access to the ledger for peer-based transaction verification. A number of studies have shown that, in this pseudonymous context, identities can be leaked based on transaction features or off-network information. In this work, we analyze the information revealed by the pattern of transactions in the neighborhood of a given entity transaction. By definition, these features which pertain to an extended network are not directly controllable by the entity, but might enable leakage of information about transacting entities. We define a number of new features relevant to entity characterization on the Bitcoin Blockchain and study their efficacy in practice. We show that even a weak attacker with shallow data mining knowledge is able to leverage these features to characterize the entity properties.

Includes members:
  Member "hyperledger fabric a distributed operating system for permissioned blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tenderbake classical bft style consensus for public blockchains")
  Member "ransomware payments in the bitcoin ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a prevention and a traction system for ransomware attacks")
  Member "toward open data blockchain analytics a bitcoin perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a probabilistic model of the bitcoin blockchain")
  Member "system g distributed graph database":
    also connected through other hyperedges:
      (none)
  Member "when a small leak sinks a great ship deanonymizing tor hidden service users through bitcoin transactions analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "investigating mmm ponzi scheme on bitcoin")
  Member "blockchain a graph primer":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on applications of game theory in blockchain")
  Member "the unreasonable effectiveness of address clustering":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "anti money laundering in bitcoin experimenting with graph convolutional networks for financial forensics")
  Member "link prediction by de anonymization how we won the kaggle social network challenge":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "everything about you a multimodal approach towards friendship inference in online social networks")

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)