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: "andana anonymous named data networking application"
  Abstract: Content-centric networking -- also known as information-centric networking (ICN) -- shifts emphasis from hosts and interfaces (as in today's Internet) to data. Named data becomes addressable and routable, while locations that currently store that data become irrelevant to applications. #R##N#Named Data Networking (NDN) is a large collaborative research effort that exemplifies the content-centric approach to networking. NDN has some innate privacy-friendly features, such as lack of source and destination addresses on packets. However, as discussed in this paper, NDN architecture prompts some privacy concerns mainly stemming from the semantic richness of names. We examine privacy-relevant characteristics of NDN and present an initial attempt to achieve communication privacy. Specifically, we design an NDN add-on tool, called ANDaNA, that borrows a number of features from Tor. As we demonstrate via experiments, it provides comparable anonymity with lower relative overhead.

Connected through hyperedge HE-1 (induced by source paper "krb ccn lightweight authentication access control for private content centric networks"):
  with members:
    - "interest based access control for content centric networks"

Connected through hyperedge HE-2 (induced by source paper "security privacy and access control in information centric networking a survey"):
  with members:
    - "accconf an access control framework for leveraging in network cached data in icns"
    - "interest based access control for content centric networks"
    - "secure fragmentation for content centric networks extended version"
    - "network layer trust in named data networking"
    - "covert ephemeral communication in named data networking"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"
    - "privacy in content oriented networking threats and countermeasures"
    - "dos and ddos in named data networking"

Connected through hyperedge HE-3 (induced by source paper "security and privacy analysis of nsf future internet architectures"):
  with members:
    - "security privacy and access control in information centric networking a survey"
    - "living in a pit less world a case against stateful forwarding in content centric networking"
    - "to nack or not to nack negative acknowledgments in information centric networking"
    - "interest based access control for content centric networks"
    - "secure fragmentation for content centric networks"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"
    - "dos and ddos in named data networking"

Connected through hyperedge HE-4 (induced by source paper "security and privacy in future internet architectures benefits and challenges of content centric networks"):
  with members:
    - "network layer trust in named data networking"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"
    - "privacy in content oriented networking threats and countermeasures"
    - "dos and ddos in named data networking"

Connected through hyperedge HE-5 (induced by source paper "living in a pit less world a case against stateful forwarding in content centric networking"):
  with members:
    - "network layer trust in named data networking"
    - "optimizing bi directional low latency communication in named data networking"
    - "dos and ddos in named data networking"

Connected through hyperedge HE-6 (induced by source paper "hornet high speed onion routing at the network layer"):
  with members:
    - "scion five years later revisiting scalability control and isolation on next generation networks"
    - "dovetail stronger anonymity in next generation internet routing"
    - "the internet as level topology three data sources and one definitive metric"

Connected through hyperedge HE-7 (induced by source paper "dovetail stronger anonymity in next generation internet routing"):
  with members:
    - "stealthy traffic analysis of low latency anonymous communication using throughput fingerprinting"

Connected through hyperedge HE-8 (induced by source paper "covert ephemeral communication in named data networking"):
  with members:
    - "poseidon mitigating interest flooding ddos attacks in named data networking"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"
    - "ephpub toward robust ephemeral publishing"

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)