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: "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.

Connected through hyperedge HE-1 (induced by source paper "securing vehicle to everything v2x communication platforms"):
  with members:
    - "a security credential management system for v2x communications"
    - "security in automotive networks lightweight authentication and authorization"
    - "analyzing attacks on cooperative adaptive cruise control cacc"
    - "cyber physical systems security a survey"
    - "enhanced position verification for vanets using subjective logic"
    - "efficient detection of sybil attack based on cryptography in vanet"
    - "secure vehicular communication systems implementation performance and research challenges"

Connected through hyperedge HE-2 (induced by source paper "local voting games for misbehavior detection in vanets in presence of uncertainty"):
  with members:
    - "risk assessment of autonomous vehicles using bayesian defense graphs"
    - "robust deep reinforcement learning for security and safety in autonomous vehicle systems"
    - "error correction coding meets cyber physical systems message passing analysis of self healing interdependent networks"

Connected through hyperedge HE-3 (induced by source paper "context aware misbehavior detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the cooperative awareness messages"):
  with members:
    - "enhanced position verification for vanets using subjective logic"

Connected through hyperedge HE-4 (induced by source paper "change point models for real time v2i cyber attack detection in a connected vehicle environment"):
  with members:
    - "cyber physical systems security a survey"
    - "characterizing honeypot captured cyber attacks statistical framework and case study"

Connected through hyperedge HE-5 (induced by source paper "veremi a dataset for comparable evaluation of misbehavior detection in vanets"):
  with members:
    - "analyzing attacks on cooperative adaptive cruise control cacc"
    - "enhanced position verification for vanets using subjective logic"

Connected through hyperedge HE-6 (induced by source paper "formal analysis of v2x revocation protocols"):
  with members:
    - "a survey of symbolic methods for establishing equivalence based properties in cryptographic protocols"
    - "secure vehicular communication systems design and architecture"

Connected through hyperedge HE-7 (induced by source paper "blackchain scalability for resource constrained accountable vehicle to x communication"):
  with members:
    - "a security credential management system for v2x communications"

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)