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: "distributed inference in the presence of eavesdroppers a survey"
  Abstract: The distributed inference framework comprises of a group of spatially distributed nodes which acquire observations about a phenomenon of interest. Due to bandwidth and energy constraints, the nodes often quantize their observations into a finite-bit local message before sending it to the fusion center (FC). Based on the local summary statistics transmitted by nodes, the FC makes a global decision about the presence of the phenomenon of interest. The distributed and broadcast nature of such systems makes them quite vulnerable to different types of attacks. This paper addresses the problem of secure communication in the presence of eavesdroppers. In particular, we focus on efficient mitigation schemes to mitigate the impact of eavesdropping. We present an overview of the distributed inference schemes under secrecy constraints and describe the currently available approaches in the context of distributed detection and estimation followed by a discussion on avenues for future research.

Connected through hyperedge HE-1 (induced by source paper "climex a wireless physical layer security protocol based on clocked impulse exchanges"):
  with members:
    - "scalable and passive wireless network clock synchronization in los environments"
    - "device fingerprinting in wireless networks challenges and opportunities"
    - "pairwise secret key agreement based on location derived common randomness"
    - "joint ranging and clock parameter estimation by wireless round trip time measurements"
    - "principles of physical layer security in multiuser wireless networks a survey"
    - "using the physical layer for wireless authentication in time variant channels"
    - "secure vehicular communication systems design and architecture"

Connected through hyperedge HE-2 (induced by source paper "remote state estimation over packet dropping links in the presence of an eavesdropper"):
  with members:
    - "the ceo problem with secrecy constraints"
    - "sensor scheduling in variance based event triggered estimation with packet drops"
    - "filter design with secrecy constraints the mimo gaussian wiretap channel"
    - "directed information causal estimation and communication in continuous time"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-3 (induced by source paper "asymptotically optimal stochastic encryption for quantized sequential detection in the presence of eavesdroppers"):
  with members:
    - "distributed bayesian detection in the presence of byzantine data"
    - "asymptotically optimal anomaly detection via sequential testing"

Connected through hyperedge HE-4 (induced by source paper "optimization algorithms for catching data manipulators in power system estimation loops"):
  with members:
    - "risk mitigation for dynamic state estimation against cyber attacks and unknown inputs"

Connected through hyperedge HE-5 (induced by source paper "measurement matrix design for compressive detection with secrecy guarantees"):
  with members:
    - "perfect secrecy via compressed sensing"
    - "projection design for statistical compressive sensing a tight frame based approach"
    - "measurement design for detecting sparse signals"

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)