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 inspired event recording system for autonomous vehicles"
  Abstract: Autonomous vehicles are capable of sensing their environment and navigating without any human inputs. However, when autonomous vehicles are involved in accidents between themselves or with human subjects, liability must be indubitably decided based on accident forensics. This paper proposes a blockchain-inspired event recording system for autonomous vehicles. Due to the inefficiency and limited usage of certain blockchain features designed for the traditional cryptocurrency applications, we design a new "proof of event" mechanism to achieve indisputable accident forensics by ensuring that event information is trustable and verifiable. Specifically, we propose a dynamic federation consensus scheme to verify and confirm the new block of event data in an efficient way without any central authority. The security capability of the proposed scheme is also analyzed against different threat and attack models.

Connected through hyperedge HE-1 (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 firmware update scheme tailored for autonomous vehicles"
    - "blockchain based charging coordination mechanism for smart grid energy storage units"
    - "zebralancer private and anonymous crowdsourcing system atop open blockchain"

Connected through hyperedge HE-2 (induced by source paper "a blockchain based architecture for traffic signal control systems"):
  with members:
    - "access control for electronic health records with hybrid blockchain edge architecture"
    - "an energy efficient transaction model for the blockchain enabled internet of vehicles iov"

Connected through hyperedge HE-3 (induced by source paper "multi authority attribute based access control with smart contract"):
  with members:
    - "blockchain based supply chain traceability token recipes model manufacturing processes"
    - "blockchain access control ecosystem for big data security"

Connected through hyperedge HE-4 (induced by source paper "leveraging protection and efficiency of query answering in heterogenous rdf data using blockchain"):
  with members:
    - "multi authority attribute based access control with smart contract"
    - "introducing a hybrid model of dea and data mining in evaluating efficiency case study bank branches"
    - "sustainable blockchain enabled services smart contracts"
    - "building an ontology for the domain of plant science using protege"
    - "blockchain access control ecosystem for big data security"
    - "searching and establishment of s p o relationships for linked rdf graphs an adaptive approach"

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.NI(Networking and Internet Architecture)