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: "secure and trustable electronic medical records sharing using blockchain"
  Abstract: Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost

Connected through hyperedge HE-1 (induced by source paper "attribute based multi signature and encryption for ehr management a blockchain based solution"):
  with members:
    - "access control for electronic health records with hybrid blockchain edge architecture"
    - "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"
    - "multi authority attribute based access control with smart contract"
    - "blockchain based firmware update scheme tailored for autonomous vehicles"

Connected through hyperedge HE-2 (induced by source paper "security analysis methods on ethereum smart contract vulnerabilities a survey"):
  with members:
    - "easyflow keep ethereum away from overflow"
    - "a security case study for blockchain games"
    - "a hybrid formal verification system in coq for ensuring the reliability and security of ethereum based service smart contracts"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "ethir a framework for high level analysis of ethereum bytecode"
    - "formal process virtual machine for smart contracts verification"
    - "scilla a smart contract intermediate level language"
    - "empirical vulnerability analysis of automated smart contracts security testing on blockchains"

Connected through hyperedge HE-3 (induced by source paper "fully convolutional densenets for polyp segmentation in colonoscopy"):
  with members:
    - "fully convolutional adaptation networks for semantic segmentation"
    - "bpds a blockchain based privacy preserving data sharing for electronic medical records"
    - "a benchmark for endoluminal scene segmentation of colonoscopy images"
    - "u net convolutional networks for biomedical image segmentation"
    - "deep residual learning for image recognition"
    - "faster r cnn towards real time object detection with region proposal networks"
    - "delving deep into rectifiers surpassing human level performance on imagenet classification"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (induced by source paper "consentio managing consent to data access using permissioned blockchains"):
  with members:
    - "parblockchain leveraging transaction parallelism in permissioned blockchain systems"
    - "fastfabric scaling hyperledger fabric to 20 000 transactions per second"
    - "a blockchain based scheme for access control in e health scenarios"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "performance benchmarking and optimizing hyperledger fabric blockchain platform"
    - "smart contract based access control for the internet of things"
    - "decentralized user centric access control using pubsub over blockchain"

Connected through hyperedge HE-5 (induced by source paper "patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records"):
  with members:
    - "loadaboost loss based adaboost federated machine learning on medical data"
    - "communication efficient on device machine learning federated distillation and augmentation under non iid private data"
    - "federated learning with non iid data"
    - "communication efficient learning of deep networks from decentralized data"
    - "unsupervised deep embedding for clustering analysis"

Connected through hyperedge HE-6 (induced by source paper "d mabe distributed multilevel attribute based emr management and applications"):
  with members:
    - "p mod secure privilege based multilevel organizational data sharing in cloud computing"
    - "blockbench a framework for analyzing private blockchains"
    - "untangling blockchain a data processing view of blockchain systems"

Connected through hyperedge HE-7 (induced by source paper "exploring the added value of blockchain technology for the healthcare domain"):
  with members:
    - "on the origins and variations of blockchain technologies"
    - "conceptualizing blockchains characteristics applications"
    - "applications of blockchain technology beyond cryptocurrency"

Connected through hyperedge HE-8 (induced by source paper "a taxonomy for understanding the security technical debts in blockchain based systems"):
  with members:
    - "a survey on the security of blockchain systems"

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)