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: "rethinking the intercept probability of random linear network coding"
  Abstract: This letter considers a network comprising a transmitter, which employs random linear network coding to encode a message, a legitimate receiver, which can recover the message if it gathers a sufficient number of linearly independent coded packets, and an eavesdropper. Closed-form expressions for the probability of the eavesdropper intercepting enough coded packets to recover the message are derived. Transmission with and without feedback is studied. Furthermore, an optimization model that minimizes the intercept probability under delay and reliability constraints is presented. Results validate the proposed analysis and quantify the secrecy gain offered by a feedback link from the legitimate receiver.

Connected through hyperedge HE-1 (induced by source paper "secure data offloading strategy for connected and autonomous vehicles"):
  with members:
    - "a city scale its g5 network for next generation intelligent transportation systems design insights and challenges"
    - "reliability of multicast under random linear network coding"

Connected through hyperedge HE-2 (induced by source paper "multi radio 5g architecture for connected and autonomous vehicles application and design insights"):
  with members:
    - "beam alignment for millimetre wave links with motion prediction of autonomous vehicles"
    - "decoding delay performance of random linear network coding for broadcast"
    - "agile calibration process of full stack simulation frameworks for v2x communications"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "mmwave system for future its a mac layer approach for v2x beam steering"
    - "wireless vehicular networks in emergencies a single frequency network approach"

Connected through hyperedge HE-3 (induced by source paper "on intercept probability minimization under sparse random linear network coding"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "reliability of multicast under random linear network coding"
    - "analysis and optimization of sparse random linear network coding for reliable multicast services"

Connected through hyperedge HE-4 (induced by source paper "reliability of multicast under random linear network coding"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "novel performance analysis of network coded communications in single relay networks"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "binary systematic network coding for progressive packet decoding"
    - "optimized network coded scalable video multicasting over embms networks"
    - "performance analysis of random linear network coding in two source single relay networks"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-5 (induced by source paper "decoding delay performance of random linear network coding for broadcast"):
  with members:
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "binary systematic network coding for progressive packet decoding"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-6 (induced by source paper "on secrecy metrics for physical layer security over quasi static fading channels"):
  with members:
    - "performance assessment and design of finite length ldpc codes for the gaussian wiretap channel"
    - "probability estimates for fading and wiretap channels from ideal class zeta functions"
    - "secure on off transmission design with channel estimation errors"
    - "wireless physical layer security with imperfect channel state information a survey"
    - "coding with scrambling concatenation and harq for the awgn wire tap channel a security gap analysis"
    - "secret sharing ldpc codes for the bpsk constrained gaussian wiretap channel"
    - "ldpc code design for the bpsk constrained gaussian wiretap channel"
    - "rethinking the secrecy outage formulation a secure transmission design perspective"

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)