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 "scaling pseudonymous authentication for large mobile systems"):
  Abstract: The central building block of secure and privacy-preserving Vehicular Communication (VC) systems is a Vehicular Public-Key Infrastructure (VPKI), which provides vehicles with multiple anonymized credentials, termed pseudonyms. These pseudonyms are used to ensure message authenticity and integrity while preserving vehicle (thus passenger) privacy. In the light of emerging large-scale multi-domain VC environments, the efficiency of the VPKI and, more broadly, its scalability are paramount. By the same token, preventing misuse of the credentials, in particular, Sybil-based misbehavior, and managing "honest-but-curious" insiders are other facets of a challenging problem. In this paper, we leverage the state-of-the-art VPKI system and enhance its functionality towards a highly-available, dynamically-scalable, and resilient design; this ensures that the system remains operational in the presence of benign failures or resource depletion attacks, and that it dynamically scales out, or possibly scales in, according to request arrival rates. Our full-blown implementation on the Google Cloud Platform shows that deploying large-scale and efficient VPKI can be cost-effective.

Includes members:
  Member "efficient scalable and resilient vehicle centric certificate revocation list distribution in vanets":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "resilient privacy protection for location based services through decentralization")
  Member "blockpki an automated resilient and transparent public key infrastructure":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a taxonomic approach to understanding emerging blockchain identity management systems")
  Member "a security credential management system for v2x communications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "securing vehicle to everything v2x communication platforms")
  Member "vpkiaas a highly available and dynamically scalable vehicular public key infrastructure":
    also connected through other hyperedges:
      (none)
  Member "rhythm a randomized hybrid scheme to hide in the mobile crowd":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "efficient scalable and resilient vehicle centric certificate revocation list distribution in vanets")
  Member "secmace scalable and robust identity and credential management infrastructure in vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "survey on misbehavior detection in cooperative intelligent transportation systems")
  Member "security and privacy in vehicular social networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "secmace scalable and robust identity and credential management infrastructure in vehicular communication systems")
  Member "evaluating on demand pseudonym acquisition policies in vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "efficient scalable and resilient vehicle centric certificate revocation list distribution in vanets")

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)