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 "secmace scalable and robust identity and credential management infrastructure in vehicular communication systems"):
  Abstract: Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a special-purpose identity and credential management infrastructure, i.e., a Vehicular Public-Key Infrastructure (VPKI), enabling pseudonymous authentication, with standardization efforts towards that direction. In spite of the progress made by standardization bodies (IEEE 1609.2 and ETSI) and harmonization efforts (Car2Car Communication Consortium (C2C-CC)), significant questions remain unanswered towards deploying a VPKI. Deep understanding of the VPKI, a central building block of secure and privacy-preserving VC systems, is still lacking. This paper contributes to the closing of this gap. We present SECMACE, a VPKI system, which is compatible with the IEEE 1609.2 and ETSI standards specifications. We provide a detailed description of our state-of-the-art VPKI that improves upon existing proposals in terms of security and privacy protection, and efficiency. SECMACE facilitates multi-domain operations in the VC systems and enhances user privacy, notably preventing linking pseudonyms based on timing information and offering increased protection even against honest-but-curious VPKI entities. We propose multiple policies for the vehicle-VPKI interactions, based on which and two large-scale mobility trace datasets, we evaluate the full-blown implementation of SECMACE. With very little attention on the VPKI performance thus far, our results reveal that modest computing resources can support a large area of vehicles with very low delays and the most promising policy in terms of privacy protection can be supported with moderate overhead.

Includes members:
  Member "resilient privacy protection for location based services through decentralization":
    also connected through other hyperedges:
      (none)
  Member "security and privacy in vehicular social networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "scaling pseudonymous authentication for large mobile systems")
  Member "evaluating on demand pseudonym acquisition policies in vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "scaling pseudonymous authentication for large mobile systems")
  Member "the key to intelligent transportation identity and credential management in vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from data to actions in intelligent transportation systems a prescription of functional requirements for model actionability")
  Member "towards deploying a scalable robust vehicular identity and credential management infrastructure":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "resilient collaborative privacy for location based services")
  Member "vespa vehicular security and privacy preserving architecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "resilient privacy protection for location based services through decentralization")
  Member "on the road reflections on the security of vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "scaling pseudonymous authentication for large mobile systems")
  Member "secure vehicular communication systems implementation performance and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "securing vehicle to everything v2x communication platforms")

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)