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: "analyzing attacks on cooperative adaptive cruise control cacc"
  Abstract: Cooperative Adaptive Cruise Control (CACC) is one of the driving applications of vehicular ad-hoc networks (VANETs) and promises to bring more efficient and faster transportation through cooperative behavior between vehicles. In CACC, vehicles exchange information, which is relied on to partially automate driving; however, this reliance on cooperation requires resilience against attacks and other forms of misbehavior. In this paper, we propose a rigorous attacker model and an evaluation framework for this resilience by quantifying the attack impact, providing the necessary tools to compare controller resilience and attack effectiveness simultaneously. Although there are significant differences between the resilience of the three analyzed controllers, we show that each can be attacked effectively and easily through either jamming or data injection. Our results suggest a combination of misbehavior detection and resilient control algorithms with graceful degradation are necessary ingredients for secure and safe platoons.

Connected through hyperedge HE-1 (induced by source paper "securing vehicle to everything v2x communication platforms"):
  with members:
    - "survey on misbehavior detection in cooperative intelligent transportation systems"
    - "a security credential management system for v2x communications"
    - "security in automotive networks lightweight authentication and authorization"
    - "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 "survey on misbehavior detection in cooperative intelligent transportation systems"):
  with members:
    - "a security credential management system for v2x communications"
    - "veremi a dataset for comparable evaluation of misbehavior detection in vanets"
    - "secmace scalable and robust identity and credential management infrastructure in vehicular communication systems"
    - "survey of important issues in uav communication networks"
    - "enhanced position verification for vanets using subjective logic"
    - "data centric misbehavior detection in vanets"
    - "secure vehicular communication systems implementation performance and research challenges"
    - "secure vehicular communication systems design and architecture"

Connected through hyperedge HE-3 (induced by source paper "veremi a dataset for comparable evaluation of misbehavior detection in vanets"):
  with members:
    - "survey on misbehavior detection in cooperative intelligent transportation systems"
    - "enhanced position verification for vanets using subjective logic"

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)