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 "survey on misbehavior detection in cooperative intelligent transportation systems"):
  Abstract: Cooperative intelligent transportation systems (cITS) are a promising technology to enhance driving safety and efficiency. Vehicles communicate wirelessly with other vehicles and infrastructure, thereby creating a highly dynamic and heterogeneously managed ad-hoc network. It is these network properties that make it a challenging task to protect integrity of the data and guarantee its correctness. A major component is the problem that traditional security mechanisms like public key infrastructure (PKI)-based asymmetric cryptography only exclude outsider attackers that do not possess key material. However, because attackers can be insiders within the network (i.e., possess valid key material), this approach cannot detect all possible attacks. In this survey, we present misbehavior detection mechanisms that can detect such insider attacks based on attacker behavior and information analysis. In contrast to well-known intrusion detection for classical IT systems, these misbehavior detection mechanisms analyze information semantics to detect attacks, which aligns better with highly application-tailored communication protocols foreseen for cITS. In our survey, we provide an extensive introduction to the cITS ecosystem and discuss shortcomings of PKI-based security. We derive and discuss a classification for misbehavior detection mechanisms, provide an in-depth overview of seminal papers on the topic, and highlight open issues and possible future research trends.

Includes members:
  Member "a security credential management system for v2x communications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "securing vehicle to everything v2x communication platforms")
  Member "veremi a dataset for comparable evaluation of misbehavior detection in vanets":
    also connected through other hyperedges:
      (none)
  Member "analyzing attacks on cooperative adaptive cruise control cacc":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "securing vehicle to everything v2x communication platforms")
  Member "secmace scalable and robust identity and credential management infrastructure in vehicular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scaling pseudonymous authentication for large mobile systems")
  Member "survey of important issues in uav communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "throughput maximization of mixed fso rf uav aided mobile relaying with a buffer")
  Member "enhanced position verification for vanets using subjective logic":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "securing vehicle to everything v2x communication platforms")
  Member "data centric misbehavior detection in vanets":
    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)