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: "block4forensic an integrated lightweight blockchain framework for forensics applications of connected vehicles"
  Abstract: Today's vehicles are becoming cyber-physical systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate vehicular public key infrastructure (VPKI) to the proposed blockchain to provide membership establishment and privacy. Next, we design a fragmented ledger that will store detailed data related to vehicles such as maintenance information/ history, car diagnosis reports, and so on. The proposed forensic framework enables trustless, traceable, and privacy-aware post-accident analysis with minimal storage and processing overhead.

Connected through hyperedge HE-1 (induced by source paper "assuring automotive data and software integrity employing distributed hash tables and blockchain"):
  with members:
    - "secure ota software updates in connected vehicles a survey"
    - "blockchain based trust authentication for decentralized sensor networks"
    - "blockchain a distributed solution to automotive security and privacy"

Connected through hyperedge HE-2 (induced by source paper "blockchain for the internet of things present and future"):
  with members:
    - "machine learning for wireless communications in the internet of things a comprehensive survey"
    - "securing the internet of things in the age of machine learning and software defined networking"
    - "smart contract based access control for the internet of things"
    - "quality of information in mobile crowdsensing survey and research challenges"
    - "lsb a lightweight scalable blockchain for iot security and privacy"
    - "learning to detect and mitigate cross layer attacks in wireless networks framework and applications"
    - "blockchain a distributed solution to automotive security and privacy"
    - "providing privacy safety and security in iot based transactive energy systems using distributed ledgers"

Connected through hyperedge HE-3 (induced by source paper "blockchain based application security risks a systematic literature review"):
  with members:
    - "efficient public blockchain client for lightweight users"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "a survey on the security of blockchain systems"
    - "sharvot secret share based voting on the blockchain"

Connected through hyperedge HE-4 (induced by source paper "secure ota software updates in connected vehicles a survey"):
  with members:
    - "assured architecture for secure software update of realistic embedded devices"
    - "blockchain a distributed solution to automotive security and privacy"
    - "a survey on wireless security technical challenges recent advances and future trends"

Connected through hyperedge HE-5 (induced by source paper "enhanced iov security network by using blockchain governance game"):
  with members:
    - "blockchain governance game"
    - "blockchain a distributed solution to automotive security and privacy"

Connected through hyperedge HE-6 (induced by source paper "blockchain based data provenance for the internet of things"):
  with members:
    - "blockchain based supply chain traceability token recipes model manufacturing processes"
    - "runtime verification for business processes utilizing the bitcoin blockchain"

Connected through hyperedge HE-7 (induced by source paper "b fica blockchain based framework for auto insurance claim and adjudication"):
  with members:
    - "blockchain a distributed solution to automotive security and privacy"
    - "blackchain scalability for resource constrained accountable vehicle to x communication"

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.CR(Cryptography and Security)