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: "blockchain based firmware update scheme tailored for autonomous vehicles"
  Abstract: Recently, Autonomous Vehicles (AVs) have gained extensive attention from both academia and industry. AVs are a complex system composed of many subsystems, making them a typical target for attackers. Therefore, the firmware of the different subsystems needs to be updated to the latest version by the manufacturer to fix bugs and introduce new features, e.g., using security patches. In this paper, we propose a distributed firmware update scheme for the AVs' subsystems, leveraging blockchain and smart contract technology. A consortium blockchain made of different AVs manufacturers is used to ensure the authenticity and integrity of firmware updates. Instead of depending on centralized third parties to distribute the new updates, we enable AVs, namely distributors, to participate in the distribution process and we take advantage of their mobility to guarantee high availability and fast delivery of the updates. To incentivize AVs to distribute the updates, a reward system is established that maintains a credit reputation for each distributor account in the blockchain. A zero-knowledge proof protocol is used to exchange the update in return for a proof of distribution in a trust-less environment. Moreover, we use attribute-based encryption (ABE) scheme to ensure that only authorized AVs will be able to download and use a new update. Our analysis indicates that the additional cryptography primitives and exchanged transactions do not affect the operation of the AVs network. Also, our security analysis demonstrates that our scheme is efficient and secure against different attacks.

Connected through hyperedge HE-1 (induced by source paper "optimizing joint probabilistic caching and channel access for clustered d2d networks"):
  with members:
    - "performance analysis of mobile cellular connected drones under practical antenna configurations"
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "on the reliability of wireless virtual reality at terahertz thz frequencies"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "mimic learning to generate a shareable network intrusion detection model"
    - "mobility in the sky performance and mobility analysis for cellular connected uavs"
    - "inter cluster cooperation for wireless d2d caching networks"

Connected through hyperedge HE-2 (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"
    - "secure and trustable electronic medical records sharing using blockchain"

Connected through hyperedge HE-3 (induced by source paper "on sharing models instead of data using mimic learning for smart health applications"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"
    - "on the reliability of wireless virtual reality at terahertz thz frequencies"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "mimic learning to generate a shareable network intrusion detection model"
    - "expansion of cyber attack data from unbalanced datasets using generative techniques"
    - "mobility in the sky performance and mobility analysis for cellular connected uavs"

Connected through hyperedge HE-4 (induced by source paper "expansion of cyber attack data from unbalanced datasets using generative techniques"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"
    - "on sharing models instead of data using mimic learning for smart health applications"
    - "bagan data augmentation with balancing gan"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "generalization of deep neural networks for chest pathology classification in x rays using generative adversarial networks"
    - "adversarial examples in the physical world"

Connected through hyperedge HE-5 (induced by source paper "a scalable multilabel classification to deploy deep learning architectures for edge devices"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "a stealthy hardware trojan exploiting the architectural vulnerability of deep learning architectures input interception attack iia"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "recent trends in deep learning based natural language processing"
    - "cnn rnn a unified framework for multi label image classification"

Connected through hyperedge HE-6 (induced by source paper "a stealthy hardware trojan exploiting the architectural vulnerability of deep learning architectures input interception attack iia"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "potrojan powerful neural level trojan designs in deep learning models"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "hardware trojan attacks on neural networks"

Connected through hyperedge HE-7 (induced by source paper "b ride ride sharing with privacy preservation trust and fair payment atop public blockchain"):
  with members:
    - "access control for electronic health records with hybrid blockchain edge architecture"
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "blockchain inspired event recording system for autonomous vehicles"
    - "zebralancer private and anonymous crowdsourcing system atop open blockchain"

Connected through hyperedge HE-8 (induced by source paper "mimic learning to generate a shareable network intrusion detection model"):
  with members:
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "neural ranking models with weak supervision"
    - "share your model instead of your data privacy preserving mimic learning for ranking"

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)