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 "on the convergence of artificial intelligence and distributed ledger technology a scoping review and future research agenda"):
  Abstract: Developments in Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) currently lead to lively debates in academia and practice. AI processes data to perform tasks that were previously thought possible only for humans. DLT has the potential to create consensus over data among a group of participants in uncertain environments. In recent research, both technologies are used in similar and even the same systems. Examples include the design of secure distributed ledgers or the creation of allied learning systems distributed across multiple nodes. This can lead to technological convergence, which in the past, has paved the way for major innovations in information technology. Previous work highlights several potential benefits of the convergence of AI and DLT but only provides a limited theoretical framework to describe upcoming real-world integration cases of both technologies. We aim to contribute by conducting a systematic literature review on previous work and providing rigorously derived future research opportunities. This work helps researchers active in AI or DLT to overcome current limitations in their field, and practitioners to develop systems along with the convergence of both technologies.

Includes members:
  Member "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "formalising and verifying smart contracts with solidifier a bounded model checker for solidity")
  Member "energy recycling blockchain with proof of deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dlbc a deep learning based consensus in blockchains for deep learning services")
  Member "decentralized and collaborative ai on blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "poster abstract towards scalable and trustworthy decentralized collaborative intrusion detection system for iot")
  Member "sok transparent dishonesty front running attacks on blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "squirrl automating attack discovery on blockchain incentive mechanisms with deep reinforcement learning")
  Member "reliable federated learning for mobile networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "privacy preserving traffic flow prediction a federated learning approach")
  Member "keystone an open framework for architecting tees":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sgx lkl securing the host os interface for trusted execution")
  Member "tensorscone a secure tensorflow framework using intel sgx":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "mind your weight s a large scale study on insufficient machine learning model protection in mobile apps")
  Member "coin ai a proof of useful work scheme for blockchain based distributed deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "dlbc a deep learning based consensus in blockchains for deep learning services")

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)